# FewerJobs export - 100 curated jobs Generated: 2026-08-15T19:46:44.114Z Source: https://fewerjobs.com ## Filters applied - **q**: KERNEL - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **verified_benefits_only**: true - **apply_url_verified**: false - **page**: 1 - **per_page**: 100 - **sort**: relevance ## Jobs ### ML Kernel Performance Engineer, Edge AI and Science - Amazon - Location: Vancouver, British Columbia, CAN (unspecified) - Salary: CAD 115K-192K - Posted: 2026-06-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science - Excerpt: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed ### Senior ML Kernel Performance Engineer - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 151K-252K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer - Excerpt: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed ### Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059992/sr-ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at ### Kernel/OS Engineer, AWS EC2 Nitro Operating System - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-04-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10391308/kernel-os-engineer-aws-ec2-nitro-operating-system - Excerpt: Kernel/OS Engineer, AWS EC2 Nitro Operating System Seattle, Washington, USA AWS EC2 Nitro powers the world's largest, fastest-growing, and most feature-rich compute cloud. Built from the ground up for virtualization at global scale, Nitro is a fully custom stack of hardware, firmware, and software that enables EC2 to support Intel, AMD, and AWS's own Graviton processors - while setting industry benchmarks for security and performance. With our Nitro System, we break apart traditional hypervisor functions like CPU virtualization, storage, and networking, and offload them to dedicated hardware and software. This enables us to deliver practically all of the resources of a server to customer instances, innovate faster, increase security, deliver new instance types, and reduce customer cost. The Nitro Linux team owns the secure, embedded Linux environment at the heart of this system. We build and maintain the operating system that integrates with the Nitro control plane and powers live updates, metrics collection, core dump handling, and system health monitoring across AWS's global infrastructure. Linux, ash, C, lua, Rust - join us for embedded software systems at cloud scale! Key job responsibilities - Research, design, and implement Linux kernel changes to meet business requirements - Drive kernel development for next-generation EC2 compute platforms - Bring up Linux on new hardware platforms and custom silicon - Debug complex, system-level, multi-component issues across layers from kernel to application - Profile system performance and drive optimizations across the software stack - Develop tooling for performance characterization, qualification, and deployment - Deliver production-quality code ### Principal Product Manager - Kernels, AI/ML, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $207K-$280K - Posted: 2026-01-16 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3161093/principal-product-manager-kernels-ai-ml-annapurna-labs - Excerpt: Principal Product Manager - Kernels, AI/ML, Annapurna Labs Cupertino, California, USA AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. You will be part of the AWS Neuron Product Management team, driving innovation in machine learning acceleration software. AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips, delivering best-in-class ML performance in the cloud. You will lead NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration. The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly valuable. Additionally, the ideal candidate should have: * Proven track record of driving product strategy and owning roadmap definition in complex technical environments * Experience delivering features with deep understanding of technical trade-offs and product implications * Strong ability to contribute to and influence engineering discussions around technology decisions and strategy * Demonstrated success in representing customer needs and driving alignment during executive-level prioritization * Track record of delivering results in fast-paced, ambiguous environments, ### Senior Software Engineer, Android Kernel/Systems - Google - Location: Bucharest, Romania (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckTrQWi1nq3nqKLju78r2x8hDMdIyACAK9nh8yK6_pywgEjsACxwdTFlMd5Z5Yz_tLBewMwI7Fxx8013kZKLR_j6kDfhnZYPcdt8UilnZS7YOZSLmBC6fytDepc5GFA%3D%3D_V2&loc=RO&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Android Kernel/Systems Bucharest, Romania As a member of the Android Systems team, you will pioneer, develop and build out our footprint in consumer hardware/software. You will contribute to the core of Android. You will work on variety of open source projects including the Linux kernel and build the future of Android together with our large partner ecosystem. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Romania: lei400000 - lei410000 (RON) + 15% bonus target + equity + benefits Learn more about benefits at Google . Work on core system components including Memory Management, Scheduling, Power, Storage, Virtualization, Networking. Scale development across a growing number of verticals (Wear, Auto, TV, Large Screen, etc.). Create and maintain a reliable, secure and robust foundation for the Android software ecosystem. Create and ship generic kernel image for devices. Comply with all company health and safety policies, procedures, and legal requirements. Minimum ### ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-03-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the ### Principal Software Engineer - Linux Kernel Performance - Akamai Technologies - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://fa-extu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/3124 - Excerpt: Principal Software Engineer - Linux Kernel Performance United States You can make a significant impact on Akamai's business. A successful candidate will seek challenges, are passionate for learning, and have demonstrated ability to pose and solve difficult problems. The job requires solid system design, solid programming and debugging skills, an obsession with code quality, and independence. You must have a passion to get things done quickly and correctly. ### Kernel / Hypervisor Engineer, Firecracker - Amazon - Location: Dublin, IRL (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10442383/kernel-hypervisor-engineer-firecracker - Excerpt: Kernel / Hypervisor Engineer, Firecracker Dublin, IRL Join us at AWS Lambda in Dublin, Ireland, building Firecracker - the open-source virtual machine monitor (VMM) purpose-built for serverless and container workloads. Firecracker runs at global scale as the foundation of AWS Lambda, Aurora D-SQL, and other AWS services, and is integrated by 10+ external teams as part of their platforms. We are looking for a Kernel / Hypervisor Engineer who is passionate about low-level systems programming and wants to push the boundaries of virtualization technology. In this role, you will work at the intersection of hardware and software - designing and implementing hypervisor components, device emulation, memory management, and guest-host interfaces in Rust on Linux/KVM. Your work will directly impact the security, performance, and efficiency of compute infrastructure serving millions of customers. Key job responsibilities * Design, develop, and maintain hypervisor and VMM components in Rust, including virtual device emulation, memory management, and vCPU scheduling. * Optimize boot latency, memory footprint, and I/O throughput for ephemeral microVM workloads at global scale. * Harden the security boundary between guest and host, contributing to threat modeling and implementing isolation mechanisms. * Contribute to the upstream Linux kernel where needed to support Firecracker's roadmap. * Mentor and coach junior engineers, drive code quality through reviews, and champion best practices. * Participate in on-call rotation to ensure operational excellence of Firecracker-based services. A day in the life Your day might start by reviewing pull requests on the Firecracker open-source repository, providing feedback to community contributors ### Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-09-03 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3072218/software-engineering-manager-ml-kernel-performance-aws-neuron-annapurna-labs - Excerpt: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products ### Senior SDE- Kernel Engineer, SSG - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-03-20 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10372180/senior-sde-kernel-engineer-ssg - Excerpt: Senior SDE- Kernel Engineer, SSG Bengaluru, Karnataka, IND The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create? As a Sr Kernel Engineer you will help build the kernel stack and BSP for various SoCs with custom hardware accelerators to be deployed in a range of Amazon devices. You will develop software for industry standard and custom hardware IP to accelerate applications in machine learning, computer vision and robotics. In this role you will: - Develop and modify Board Support Package (BSP) components: This includes bootloaders (TF-A, OP-TEE, SCP, U-Boot), device drivers, kernel modules, and device tree support. - Collaborate with architecture teams to define and implement innovative silicon features. - Perform initial silicon and platform bring-up in both pre-silicon and post-silicon environments. - Debug and root-cause complex issues across hardware and software interfaces. - Partner with cross-functional teams to productize silicon solutions and ensure successful product delivery. - Optimize OS and kernel solutions to achieve excellent performance for supported features. - Contribute throughout product development stages including HVT, EVT, DVT, and PVT phases. - Engage with diverse cross-functional teams to ensure seamless feature integration and alignment across hardware, firmware, and software components. Basic Qualifications: - 10+ years of non-internship professional software development experience - 10+ years of programming with at least one software programming language experience - 10+ years of ### Embedded Software Engineer, Kernel Drivers and Systems Engineering - Google - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb__Sv0a9hsVa07ZJFAPCzZko2PjQI4KGyUNN4xQoOSIEjsACxwdTLCbINvGUtfdLdOdjNb4GP9Y8fGlpKt-CiCl4SNxb72Wvz67hi2n7fezcUmhZLrFYU7Kpg973Q%3D%3D_V2&loc=IN&title=Embedded+Software+Engineer - Excerpt: Embedded Software Engineer, Kernel Drivers and Systems Engineering Bengaluru, Karnataka, India Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. This is an Individual Contributor role in the Drivers and Systems team within the SPIN (Software Platforms for IPUs and NICs) organization. This team focuses on developing kernel drivers for the various Infrastructure Processing Units (IPUs)/Network Interface Cards (NICs) in our portfolio, and ensuring that end-to-end systems built with these devices achieve the scale/reliability/performance expected for networking, and that such systems interact well within the Google Cloud ecosystem.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more ### Principal Software Developer - 4 (Linux Kernel Engineer) - Oracle - Location: Santa Clara, CA, United States, US (unspecified) - Salary: $100K-$235K - Posted: 2026-06-11 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Adoption assistance: yes (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/336153/ - Excerpt: Principal Software Developer - 4 (Linux Kernel Engineer) Santa Clara, CA, United States, US The Oracle Cloud Linux team is seeking experienced Linux Kernel Developers to help advance the Linux operating system for large-scale cloud environments. This role involves contributing to Linux kernel and working on innovative projects across multiple kernel subsystems, including networking, storage, security, performance optimization, virtual memory management, architecture enablement, and live patching technologies. Key Responsibilities · Design, develop, and optimize kernel features across areas such as: o Networking (Ethernet, InfiniBand, OFED, RoCE, DPDK, and related technologies) o Storage and Filesystems (iSCSI, Fibre Channel, NFS, ZFS, Btrfs, block layer, and filesystem layer) o Virtual Memory Management and Performance Optimization, including large page management and container workload performance o Security technologies such as encryption, TPM integration, signed kernels/modules, Secure Boot, and bootloader security · Contribute to the upstream Linux kernel and drive enhancements for cloud-scale deployments. · Collaborate closely with hardware design teams on processor bring-up and architecture enablement initiatives. Required Qualifications · Strong background in operating systems development. · Several years of hands-on Unix/Linux kernel development experience preferred. · Proficiency in C programming and kernel-level debugging. · Expertise in one or more Linux kernel subsystems, including networking, storage, memory management, security, or processor architecture. · Experience with open-source development practices and upstream kernel contributions is highly desirable. · Familiarity with Python and Bash scripting for development and automation tasks. Preferred Experience · High-performance networking technologies such as RoCE, advanced Ethernet networking. · Filesystem and storage technologies including ### Senior Principal Software Engineer - 5 (Linux Kernel Engineer) - Oracle - Location: Santa Clara, CA, United States, US (unspecified) - Salary: $97K-$306K - Posted: 2026-06-11 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Adoption assistance: yes (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/336152/ - Excerpt: Senior Principal Software Engineer - 5 (Linux Kernel Engineer) Santa Clara, CA, United States, US The Oracle Cloud Linux team is seeking experienced Linux Kernel Developers to help advance the Linux operating system for large-scale cloud environments. This role involves contributing to Linux kernel and working on innovative projects across multiple kernel subsystems, including networking, storage, security, performance optimization, virtual memory management, architecture enablement, and live patching technologies. Key Responsibilities · Design, develop, and optimize kernel features across areas such as: o Networking (Ethernet, InfiniBand, OFED, RoCE, DPDK, and related technologies) o Storage and Filesystems (iSCSI, Fibre Channel, NFS, ZFS, Btrfs, block layer, and filesystem layer) o Virtual Memory Management and Performance Optimization, including large page management and container workload performance o Security technologies such as encryption, TPM integration, signed kernels/modules, Secure Boot, and bootloader security · Contribute to the upstream Linux kernel and drive enhancements for cloud-scale deployments. · Collaborate closely with hardware design teams on processor bring-up and architecture enablement initiatives. Required Qualifications · Strong background in operating systems development. · Several years of hands-on Unix/Linux kernel development experience preferred. · Proficiency in C programming and kernel-level debugging. · Expertise in one or more Linux kernel subsystems, including networking, storage, memory management, security, or processor architecture. · Experience with open-source development practices and upstream kernel contributions is highly desirable. · Familiarity with Python and Bash scripting for development and automation tasks. Preferred Experience · High-performance networking technologies such as RoCE, advanced Ethernet networking. · Filesystem and storage technologies ### Senior Software Engineer, Linux Kernel Networking - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckThipUWUe-jEHUecmpIm5D2QujweNVEuHiRNzJc7FTtmEjsACxwdTG9aNgZwBJ7bHgAHQ1oMK7_uznRw_swt2hu2Vxybucs4oZ1F4np8fQrGhQPdBL7uPyUyQyclDw%3D%3D_V2&loc=US&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Linux Kernel Networking Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Write and test product or system development code. Participate in, ### Software Engineer III, Linux Kernel Networking - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $147K-$211K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVE7ShQDRC8V0kG9SJ7qkGsadYOXqrR9H_KxczsNxH20EjsACxwdTJGf_tBzB1L_O-zioMhAAwIp_Xz2co2ZP1xJRAv9ObmSXHq0pzPFqHmkKxBpymFCwEp2AkEc7w%3D%3D_V2&loc=US&title=Software+Engineer+III - Excerpt: Software Engineer III, Linux Kernel Networking Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Write product or system development code. Participate in, or lead ### Staff Software Engineer, Linux Kernel Memory Management - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckfduG79NBHFWNZIzboO61LOFcv8iUQtMMmpUzbTRkuPYEjsACxwdTHgWqj3CoDg4ATRnl0w-mxf7gpYFH0nxhYBZT-UryusAL1OGstMWayjfIiUfkVpamFntcII_7Q%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Linux Kernel Memory Management Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, ### Senior Principal Software Developer 5 (Linux Engineer) - Oracle - Location: Santa Clara, CA, United States, US (unspecified) - Salary: $97K-$306K - Posted: 2026-06-11 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Adoption assistance: yes (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/336154/ - Excerpt: Senior Principal Software Developer 5 (Linux Engineer) Santa Clara, CA, United States, US The Oracle Cloud Linux team is seeking experienced Linux Kernel Developers to help advance the Linux operating system for large-scale cloud environments. This role involves contributing to Linux kernel and working on innovative projects across multiple kernel subsystems, including networking, storage, security, performance optimization, virtual memory management, architecture enablement, and live patching technologies. · Design, develop, and optimize kernel features across areas such as: o Networking (Ethernet, InfiniBand, OFED, RoCE, DPDK, and related technologies) o Storage and Filesystems (iSCSI, Fibre Channel, NFS, ZFS, Btrfs, block layer, and filesystem layer) o Virtual Memory Management and Performance Optimization, including large page management and container workload performance o Security technologies such as encryption, TPM integration, signed kernels/modules, Secure Boot, and bootloader security · Contribute to the upstream Linux kernel and drive enhancements for cloud-scale deployments. · Collaborate closely with hardware design teams on processor bring-up and architecture enablement initiatives. Required Qualifications · Strong background in operating systems development. · Several years of hands-on Unix/Linux kernel development experience preferred. · Proficiency in C programming and kernel-level debugging. · Expertise in one or more Linux kernel subsystems, including networking, storage, memory management, security, or processor architecture. · Experience with open-source development practices and upstream kernel contributions is highly desirable. · Familiarity with Python and Bash scripting for development and automation tasks. Preferred Experience · High-performance networking technologies such as RoCE, advanced Ethernet networking. · Filesystem and storage technologies including XFS, ZFS, NFS, ### Senior Linux Detection Researcher (Cortex) - CyberArk - Location: Office - Israel - Tel Aviv (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Senior-Linux-Detection-Researcher--Cortex-_JR-016256 - Excerpt: Senior Linux Detection Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago ### Senior/Principal Linux Security Analytics Researcher (Cortex) - CyberArk - Location: Office - Israel - Tel Aviv (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Senior-Principal-Linux-Security-Analytics-Researcher--Cortex-_JR-018658 - Excerpt: Senior/Principal Linux Security Analytics Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted Yesterday ### SysDE I - Multimedia, Hardware Compute Group - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10417470/sysde-i-multimedia-hardware-compute-group - Excerpt: SysDE I - Multimedia, Hardware Compute Group Bengaluru, Karnataka, IND Are you passionate about graphics systems and display technologies that power millions of devices? Join our team to work at the intersection of GPU drivers, display compositors, and system-level integration, delivering seamless visual experiences on cutting-edge consumer devices. As a SysDe I, you will be responsible for: - Integrating and enabling GPU graphics drivers at both kernel (driver) and userspace (Mesa) levels, ensuring optimal rendering performance and stability - Working with ARM Mali DDK for GPU driver bring-up, configuration, and performance tuning across product platforms - Enabling and maintaining Weston/Wayland compositor stack, including shell customization, display output configuration, and client-compositor interactions - Driving systemic integration across the graphics pipeline, from kernel DRM/KMS drivers through userspace graphics libraries to compositor and application layers - Debugging and resolving complex cross-layer graphics issues spanning kernel drivers, EGL/GLES, Vulkan, and display frameworks - Collaborating with silicon vendors, internal platform teams, and application teams to deliver production-quality graphics solutions - Developing automated test frameworks and validation tools for graphics subsystem verification Key job responsibilities - Own the integration, bring-up, and validation of GPU graphics drivers (ARM Mali DDK) at the kernel level across multiple product platforms, ensuring driver stability and performance targets are met - Enable and maintain the userspace graphics stack (Mesa, EGL, GLES, Vulkan) to deliver optimized rendering pipelines for consumer device use cases - Drive Weston/Wayland compositor integration, including shell configuration, display output management, multi-client compositing, and input handling - Perform end-to-end ### Senior C++ Low Level Engineer - Akamai Technologies - Location: Israel (unspecified) - Salary: Not disclosed - Posted: 2026-04-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://fa-extu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/2755 - Excerpt: Senior C++ Low Level Engineer Israel We're looking for a talented Senior C++ Developer with a deep foundation in research engineering and Linux kernel. ### Embedded Software Engineer, AWS Annapurna Labs - Amazon - Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified) - Salary: Not disclosed - Posted: 2025-07-21 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3038930/embedded-software-engineer-aws-annapurna-labs - Excerpt: Embedded Software Engineer, AWS Annapurna Labs Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, an Amazon company, is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. Key job responsibilities The Linux Kernel development team is looking for a talented Linux kernel expert with experience in embedded systems, to join us in building the high-end AWS NITRO system. You'll have the opportunity to work on the top technologies powering the world's largest cloud provider, in a dynamic, open, fast-paced environment. As part of your role you will develop kernel drivers and share your code with the Linux community. This is a rare opportunity to develop code that runs at such a high scale, with strict reliability and security demands. About the team *Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. *Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is ### Embedded Software Engineer - Networking drivers, ENA team - Amazon - Location: Haifa, Haifa, ISR (unspecified) - Salary: Not disclosed - Posted: 2026-03-25 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10375571/embedded-software-engineer-networking-drivers-ena-team - Excerpt: Embedded Software Engineer - Networking drivers, ENA team Haifa, Haifa, ISR Join AWS's ENA (Elastic Network Adapter) drivers team and build the networking software that powers millions of cloud instances worldwide. We develop high-performance kernel and user-space drivers for multiple operating systems running on the virtual machines that deliver exceptional bandwidth, low latency, and optimal performance across AWS's global infrastructure. As an embedded Software Engineer, you'll work on drivers running across Linux, Windows, DPDK, FreeBSD and other operating systems. Your code will impact AWS customers globally through both proprietary AWS technologies and open-source contributions. You'll collaborate with multiple teams, contribute to upstream projects, and solve challenging performance problems at a massive scale. Key job responsibilities - Design and implement networking drivers for AWS Nitro controllers powering millions of servers - Optimize network performance: improve bandwidth utilization, packets-per-second (PPS), cycles-per-packet and reduce latency - Develop and maintain kernel and user-space drivers across multiple operating systems (Linux, Windows, DPDK, FreeBSD, MacOS and other operating systems) - Contribute to open-source repositories including the Linux kernel and upstream projects - Debug complex networking issues in production environments with customer-facing impact - Collaborate with multiple teams, kernel maintainers, AWS service teams and AWS customers - Monitor driver performance metrics and maintain code quality standards - Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - 3+ years of professional software development experience with strong ### Principal Software Developer 4 (KSplice) - Oracle - Location: Santa Clara, CA, United States, US (unspecified) - Salary: $100K-$235K - Posted: 2026-06-11 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Adoption assistance: yes (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/336155/ - Excerpt: Principal Software Developer 4 (KSplice) Santa Clara, CA, United States, US Ksplice is the leading technology that allows administrators to patch the kernel on the fly with zero downtime and zero disruption. We're a distributed team of engineers forming part of the Linux and Virtualization group at Oracle with a passion for working on exciting technology, software engineering and all things Linux. Ksplice powers some of Oracle's biggest systems from massive databases to clouds. Join us on our quest to minimize downtime and secure systems. We're looking for a systems engineer to join us, helping Ksplice patch even more of the system, support new releases and improving our workflow. If you take pride in crafting software, don't rest until you full understand complex problems and are curious about what happens on the layer below then Ksplice will be of interest to you. You'll like working at all levels of a Linux system, developing tooling in Python bash, analyzing security vulnerabilities in Linux kernel patches, enhancing the Ksplice tools and improving the workflow. · Skilled with software development best practices including TDD · Expert level C/C programming · Understanding of security issues and defenses in compiled languages · Strong experience with Python · Experience developing the Linux/UNIX kernel · Excellent problem solving and debugging skills · Test automation More information about Ksplice is available at http://ksplice.oracle.com/ Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug ### Dir, Machine Learning Eng - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Dir--Machine-Learning-Eng_R154342-1 - Excerpt: Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago ### Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167407 - Excerpt: Machine Learning Engineer San Jose posted: Posted 8 Days Ago ### Principal Engineer Software (Machine Learning) - CyberArk - Location: Santa Clara, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Santa-Clara-United-States-of-America/Principal-Engineer-Software_JR-015586 - Excerpt: Principal Engineer Software (Machine Learning) Santa Clara, United States of America posted: Posted 4 Days Ago ### Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R169199-1 - Excerpt: Machine Learning Engineer San Jose posted: Posted 7 Days Ago ### Machine Learning Engineer - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868 - Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago ### Software Development Engineer II, AI/ML Elastic Collectives - Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-01-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3169819/software-development-engineer-ii-ai-ml-elastic-collectives-annapurna-labs - Excerpt: Software Development Engineer II, AI/ML Elastic Collectives - Annapurna Labs Cupertino, California, USA We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C++ and relatively low level, so solid knowledge of Linux, kernels, and performant code is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC interconnects is valued highly. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role on the forefront of AI/ML, you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. The org you would be joining is Annapurna Labs, an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed in Annapurna Labs. We specialize in designing software, systems and chips that optimize the AWS customer experience. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, ### Linux and UNIX Architect / SME - NXP Semiconductors - Location: Noida (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://nxp.wd3.myworkdayjobs.com/Careers/job/Noida/Linux-and-UNIX-Architect---SME_R-10057505 - Excerpt: Linux and UNIX Architect / SME Noida posted: Posted 30+ Days Ago ### WiFi Software Development Engineer, eero - Amazon - Location: Chennai, Tamil Nadu, IND (unspecified) - Salary: Not disclosed - Posted: 2026-05-07 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10413190/wifi-software-development-engineer-eero - Excerpt: WiFi Software Development Engineer, eero Chennai, Tamil Nadu, IND We are looking for a Software Development Engineer to join our team at eero. The ideal candidate will be passionate about networking, with a deep understanding of Ethernet, network security protocols, WiFi, and broader networking concepts. This role is critical in handling escalations, particularly those that are challenging to reproduce in the field. The Software Development Engineer will spend 50% of their time managing customer issues and 50% of the time developing features, integrating software and improving tooling. This position offers an exciting opportunity to contribute to our team and to shape a new function within our organization. Key job responsibilities - Enhance whole home connectivity for eero products. - Solve connectivity issues with comprehensive solutions. - Optimize networking subsystems in OS kernels for better WiFi performance. - Implement protocols for efficient mesh network management. - Debug and optimize kernel-level system performance for stability. - Improve integration of wireless drivers, firmware, hostap, and applications. - Lead enhancements in testing procedures. - Collaborate with OS, mobile, and cloud teams to deliver features. About the team At eero, our mission is to make technology in our homes just work, through fast, stable, and secure connectivity. As a leader in home WiFi systems, eero is committed to delivering exceptional whole-home connectivity solutions. We focus on innovative design, performance, and user-centric technology to ensure a seamless and robust WiFi experience in every home. Basic Qualifications: - 3+ years of computer science fundamentals (object-oriented design, data ### Lead Engineer, ML Network Stack - Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2026-02-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3190812/lead-engineer-ml-network-stack-annapurna-labs - Excerpt: Lead Engineer, ML Network Stack - Annapurna Labs Cupertino, California, USA We are seeking an experienced engineer and technical leader to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. This is a role for a technical lead with the expectation to grow into a technical manager role. We are specifically seeking candidates who want to develop their career as a technical manager. The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. Key job responsibilities Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive ### Sr Software Engineer, Graviton Software, Annapurna Labs - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-06-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10444966/sr-software-engineer-graviton-software-annapurna-labs - Excerpt: Sr Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 98% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features - Build and maintain automation solutions ### Machine Learning Engineer 4 - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer-4_R166984 - Excerpt: Machine Learning Engineer 4 San Jose posted: Posted 30+ Days Ago ### Applied Scientist, AWS Neuron Science Team - Amazon - Location: Santa Clara, California, USA (unspecified) - Salary: $172K-$222K - Posted: 2025-12-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3139216/applied-scientist-aws-neuron-science-team - Excerpt: Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and ### Sr Machine Learning Engineer- ML Infrastructure & Data Platforms - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer--ML-Infrastructure---Data-Platforms_R166887 - Excerpt: Sr Machine Learning Engineer- ML Infrastructure & Data Platforms 2 Locations posted: Posted 30+ Days Ago ### Software Engineer, Graviton Software, Annapurna Labs - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-04-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10387292/software-engineer-graviton-software-annapurna-labs - Excerpt: Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA This opportunity is open for Austin. The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 90% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features - ### Principal/Senior Linux Security Researcher (Cortex) - CyberArk - Location: Office - Israel - Tel Aviv (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Principal-Researcher_JR-011774 - Excerpt: Principal/Senior Linux Security Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted 15 Days Ago ### Engineering Manager, SSD Storage - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-11 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckdM1lx4bGgXiD_gkW7L272aL5pAtPL4fSjOy5E3-iP3qEjsACxwdTKBeQ7vsjY2SUiIqriDjBTRUBmEh5YLu3xRVn8Wrj7ixQkymJlV3BeA12XonxEPAz1eWgRr2sA%3D%3D_V2&loc=US&title=Engineering+Manager - Excerpt: Engineering Manager, SSD Storage Sunnyvale, CA, USA Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As a part of the Platforms Storage, you will be responsible for building storage solutions for all of Google's services (e.g., AI/ML Systems, Cloud, Search, Photos, YouTube etc.). You will design and develop the platform's software and solutions for NAND flash, Solid State Drives (SSDs), storage appliances, and next-generation disruptive storage technologies. You will develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. You will develop qualification frameworks, solutions and processes working jointly with our ### Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165365 - Excerpt: Machine Learning Engineer San Jose posted: Posted 30+ Days Ago ### Principal Member of Technical Staff - Autonomous Database - Oracle - Location: India, IN (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/336222/ - Excerpt: Principal Member of Technical Staff - Autonomous Database India, IN The Autonomous Database cloud service framework automates deployment, scaling and management of databases in the cloud and is built on top of Oracle's Cloud Infrastructure (OCI) Layer. The framework features APIs to handle all lifecycle management operations of databases. It also performs operations autonomously based on internal and external events. The team has the unique opportunity to make significant contributions to the full stack of Oracle technology, from database kernel to cloud service platform and to customer-facing portals. Projects include enhancements to the core database kernel architecture, automation of tenant database lifecycle management, autonomous database management and tuning, integration with other Oracle cloud services, and extending platform for customers to build application services. We are a dynamic and enthusiastic team with great emphasis on go-getters and proactive individuals. Overview from oracle.com with links to other collateral: https://cloud.oracle.com/en_US/datawarehousehttps://www.oracle.com/database/autonomous-database/feature.html Preferred Qualifications: BS/MS degrees in Computer Science or Computer Engineering Strong, object-oriented design and coding skills (Java, Scala, Python, C/C++) Good understanding of Cloud architecture, security, networking, monitoring and deployments Hands on experience on any one cloud - AWS, Azure, Google or Oracle is a must Experience building scalable, highly available and secure distributed multi-tiered systems Experience with relational databases Strong knowledge in Rest API development Experience in infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar Experience in operating high-throughput software systems in cloud environments Ability to achieve stretch goals in a fast paced environment Design, develop, troubleshoot and debug software ### Senior Machine Learning Engineer, AI Platform - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678 - Excerpt: Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago ### ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2025-08-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3055108/ml-compiler-engineer-ii-neuron-kernel-interface-annapurna-labs - Excerpt: ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing ### Director, Cloud Engineering - Pfizer - Location: Greece-Thessaloniki Chortiatis (unspecified) - Salary: Not disclosed - Posted: 2026-05-25 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Greece-Thessaloniki-Chortiatis/Director--Cloud-Engineering_4950694 - Excerpt: Director, Cloud Engineering Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago ### Staff Software Engineer, Storage - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckYcobWuksxDkWSzTBwJi1tLy-kTKdLEKwILgSClUD6WwEjoACxwdTG28YALAcPJP68dUx1Y0JYIKEO2FWwieBTD6E7q9yPgiyuzBLlal4CzqTnvEgKWvOv5rPzWp_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Storage Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Platforms Storage is responsible for building storage solutions for all of Google's services (e.g., Artificial Intelligence/Machine Learning (AI/ML) Systems, Cloud, Search, Photos, YouTube etc.). The team designs and develops the platforms' software and solutions for NAND flash, Solid-State Drives (SSDs), storage appliances, and next-generation storage technologies. We develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. We develop qualification frameworks, solutions and processes working with the vendors. We are responsible for maintaining and ensuring supply for all the flash in Google's fleet. In this role, you will contribute to enhancing the capabilities in all of the areas. The AI and ### Machine Learning Researcher (NLP) - The Boeing Company - Location: KOR - Seoul, South Korea (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/KOR---Seoul-South-Korea/Machine-Learning-Researcher--NLP-_JR2026514641-1 - Excerpt: Machine Learning Researcher (NLP) KOR - Seoul, South Korea posted: Posted Today ### Director, Technical Services, Public Sector, Cortex & Cloud - CyberArk - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Arlington-United-States-of-America/Director--Technical-Services--Public-Sector--Cortex---Cloud_JR-017921 - Excerpt: Director, Technical Services, Public Sector, Cortex & Cloud 2 Locations posted: Posted 15 Days Ago ### Software Development Engineer, Alexa and Echo Devices - Amazon - Location: Beijing, CHN (unspecified) - Salary: Not disclosed - Posted: 2026-03-31 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10380612/software-development-engineer-alexa-and-echo-devices - Excerpt: Software Development Engineer, Alexa and Echo Devices Beijing, CHN Amazon Lab126 is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc. Since then, we have worked to produce best-selling tablets with breakthrough hardware technology as well as e-readers that have revolutionized reading. What will you help us create? Work hard. Have fun. Make history. Key job responsibilities We are looking for a talented, detail-oriented and enthusiastic Software Development Engineer who is passionate about innovation and is enthusiastic about new products and new technology. As a Software Development Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You must be responsive, flexible and able to succeed within an open collaborative peer environment. You will work closely with the customers, hardware, ODM, and QA teams to take the product from concept to customer release and ensure the highest level of quality for your deliverables. Have in-depth expertise working with the camera, video for consumer devices. In this role, you will: * Analyze technical requirements, investigate feasible technical solutions, and complete technical design. * Participate or initiate design and code reviews, technical discussion, software development and documentation. * Take camera driver, HAL software development and deliver high quality code timely, maintain SW stability and performance. * Take BSP, Linux kernel, power/thermal, uboot, stability and deliver high quality code timely, maintain SW stability and performance. * Deep dive ### Sr. Machine Learning Engineer 4 - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R166104 - Excerpt: Sr. Machine Learning Engineer 4 2 Locations posted: Posted 4 Days Ago ### Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckbOgk4A7NZMHFRxeUMMPda7Fzeh6uB3rhCF-yOG9qY44EjsACxwdTDZ1jdDHZj9wIa7BMjnFwUfI-S_ixbbU-ViOQFr95qcd2Akb9zTMgf07CGfB5DkHL7Mn_EbZ1w%3D%3D_V2&loc=US&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The CoreOS team is responsible for the Operating System that runs Google, from the Kernel through the Node OS. The Agentic Engineering team within CoreOS is driving the AI revolution into how we work, test, release, and support the CoreOS across Production. This team is 25% exploration, 50% engineering, 25% productionization - but top to bottom revolutionary in fast turn-around in developing critical services that could only be possible via AI. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our ### Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud - Google - Location: Tel Aviv, Israel; +1 more (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckW_Qhx5wpXHRzFwFycrE_o-wZ7iZDmIONzXLW9yn7XxHEjsACxwdTCm9tx4YEhLbhEHQcm49BX19M6M59zg6wI5U8t74bTkepACUpEMdIyUFdtCeMjtQOnILX-9qpg%3D%3D_V2&loc=IL&title=Machine+Learning+Hardware+Architect - Excerpt: Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud Tel Aviv, Israel; +1 more In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms ### Manager, Software Development (Hands-On Technical), ML Network Stack - Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $185K-$250K - Posted: 2026-02-18 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3184359/manager-software-development-hands-on-technical-ml-network-stack-annapurna-labs - Excerpt: Manager, Software Development (Hands-On Technical), ML Network Stack - Annapurna Labs Cupertino, California, USA We are hiring a hands-on Software Development Manager for the team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, Perplexity kernels and others. We are seeking an experienced engineering manager for a mid-sized team, with multiple years of hands-on experience in systems programming, HW/SW co-design, and familiarity with networking (HPC networking preferred). Experience with the NVIDIA stack, ML applications, and frameworks will be highly regarded. You'll be leading senior, mid-level, and junior SDEs and directing work to ensure the team delivers functions and features required for the latest and largest ML workloads. About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the ### Senior Associate, Cloud Engineer - Pfizer - Location: Greece-Thessaloniki Chortiatis (unspecified) - Salary: Not disclosed - Posted: 2026-05-25 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Greece-Thessaloniki-Chortiatis/Senior-Associate--Cloud-Engineer_4951470 - Excerpt: Senior Associate, Cloud Engineer Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago ### Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-10-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs - Excerpt: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and ### Working Student (f/m/d) Office Support & Embedded Programming - NXP Semiconductors - Location: Dresden (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://nxp.wd3.myworkdayjobs.com/Careers/job/Dresden/Working-Student--f-m-d--Office-Support---Embedded-Programming_R-10062923 - Excerpt: Working Student (f/m/d) Office Support & Embedded Programming Dresden posted: Posted 11 Days Ago ### Applied Scientist II, Annapurna ML - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $172K-$222K - Posted: 2026-04-17 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10395019/applied-scientist-ii-annapurna-ml - Excerpt: Applied Scientist II, Annapurna ML Cupertino, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the ### Sr. Principal Machine Learning Engineer - Comcast Corporation - Location: CA - Virtual - E (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718 - Excerpt: Sr. Principal Machine Learning Engineer CA - Virtual - E posted: Posted 4 Days Ago ### Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-11-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3128924/software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work ### Senior Applied Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-16 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Applied-Machine-Learning-Engineer--Typographic-Intelligence_R166553 - Excerpt: Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago ### Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-10-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3098687/senior-software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to ### Sr Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1 - Excerpt: Sr Machine Learning Engineer San Jose posted: Posted 30+ Days Ago ### Software Engineer, PhD, Early Careers, Platform System Software - Google - Location: Taipei, Taiwan (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckRa1aKqqcZ7B-idcPt5bVgWfAnTrPRmpLyExz4NHUzgIEjsACxwdTIeORRxjDVN2gvrXPJDfLell-tWR2E4qUFp5TMyNO2FPIbBMeatADJnW4OLyem9_E_UpLw2MOQ%3D%3D_V2&loc=TW&title=Software+Engineer - Excerpt: Software Engineer, PhD, Early Careers, Platform System Software Taipei, Taiwan The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Develop C/C++ firmware and system software, including device drivers (UART, I2C, SPI), simulators, and emulators. Optimize low-level hardware interaction and peripheral control for new features. Focus on the secure aspects of the boot process, such as confidential compute, attestation, security, etc. Navigate up and down the stack as needed. Implement new BIOS features, sometimes debugging a kernel driver, or interacting with the silicon designers. Identify root causes of complex issues within the AI hypercomputer systems. Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. Experience coding in C/C++ or Python. Experience with embedded systems, system software, and software integration. Preferred qualifications: 1 year of experience with embedded Linux or Linux device drivers. Experience in code and system health ### Machine Learning Engineer - II - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946 - Excerpt: Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago ### Staff Software Engineer, Accelerator Platform Software - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSOnZm8NlY9IT5JEaiG-6wHjtKaBhM4PhYn4CLSiUA-qEjsACxwdTJAxIDbR8MMm0qT99F9CYJNVI1lEBamHQZOpwS4dWjWYGx_WqV2TigMsdMbPlTlLej__qYIUrg%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Accelerator Platform Software Sunnyvale, CA, USA Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Accelerator Platforms and Laboratory Team's mission is to empower Google's accelerator roadmap by engineering foundational hardware (Peripheral Component Interconnect Express, fabric, Input-Output Memory Management Unit) and low-level software (kernel, Firmware). We provide reliable, secure, and efficient accelerator-to-host connectivity to enable use cases. The team is also responsible for onboarding new types of domain-specific accelerators into Google data centers. As a Staff Software Engineer on the accelerator platforms team, you will have influence beyond, handling complex issues in low-level software and hardware interaction. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough ### Principal Engineer - FPGA - Baker Hughes - Location: US-NY-SKANEATELES-721 VISIONS DRIVE (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/US-NY-SKANEATELES-721-VISIONS-DRIVE/Electrical-Engineer---FPGA_R156053-1 - Excerpt: Principal Engineer - FPGA US-NY-SKANEATELES-721 VISIONS DRIVE posted: Posted 30+ Days Ago ### Software Engineer II- AI/ML, AWS Neuron - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-03-24 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10375046/software-engineer-ii-ai-ml-aws-neuron - Excerpt: Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of ### Principal Engineer (Machine Learning) - CyberArk - Location: Office - USA - CA - Headquarters (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Principal-Software-Engineer--Machine-Learning-_JR-015882 - Excerpt: Principal Engineer (Machine Learning) Office - USA - CA - Headquarters posted: Posted 11 Days Ago ### Sr Software Engineer, Graviton Software, Annapurna Labs - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-04-23 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10401493/sr-software-engineer-graviton-software-annapurna-labs - Excerpt: Sr Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA This opportunity is open for Austin, TX. The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 2 years, Graviton has powered the majority of new EC2 capacity and is used by over 90% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis ### Machine Learning Engineer, Firefly Services - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Machine-Learning-Engineer--Firefly-Services_R168300 - Excerpt: Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago ### Machine Learning Services Engineer - Firefly - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Services-Engineer---Firefly_R164500 - Excerpt: Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago ### Machine Learning Performance Engineer, Annapurna Labs - Amazon - Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified) - Salary: Not disclosed - Posted: 2025-12-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3138794/machine-learning-performance-engineer-annapurna-labs - Excerpt: Machine Learning Performance Engineer, Annapurna Labs Tel Aviv-Yafo, Tel Aviv, ISR Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators - Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud. We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on: Optimizing system performance across the entire ML software stack Analyzing high-performance ML workloads running on Annapurna hardware Developing high-performance kernels for critical ML operations Enhancing the Neuron SDK to improve developer experience and system capabilities Collaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performance As part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance. This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure - right here in Tel Aviv. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, ### NPI Engineer, Embedded Firmware and Software, Emerging Accelerator Software - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckYmPENDJ2HIAXZ_x9yAUhvBtb_pZFxZYhUEtR-sXuQieEjsACxwdTGjw6_EeqxgdAuIaUwrQ3FfReOv7etPyfqPBkdg3fYoXPAk9xWPDulTVTNhHUl55Q7JjXh-16w%3D%3D_V2&loc=US&title=NPI+Engineer - Excerpt: NPI Engineer, Embedded Firmware and Software, Emerging Accelerator Software Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Accel Platforms and Lab Team's mission is to empower Google's accelerator roadmap by engineering foundational hardware (PCIe, fabric, IOMMU) and low-level software (kernel, firmware). We provide reliable, secure, and efficient accelerator-to-host connectivity to enable cutting-edge use cases. The team is also responsible for onboarding new types of domain-specific accelerators into Google data centers. As a Staff Software Engineer on the Emerging Accelerator System team, you will have influence well beyond yourself, solving complex challenges in low-level software and hardware interaction. Your role is critical to Google's accelerator roadmap. The AI and Infrastructure team is redefining what's possible. We empower Google ### Senior Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R160087 - Excerpt: Senior Machine Learning Engineer San Jose posted: Posted 25 Days Ago ### Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference - Excerpt: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection ### 2026 University Graduate - Machine Learning Engineer - Adobe Inc. - Location: Seattle (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/XMLNAME-2026-University-Graduate---Machine-Learning-Engineer_R160133 - Excerpt: 2026 University Graduate - Machine Learning Engineer Seattle posted: Posted 30+ Days Ago ### Principal Machine Learning Engineer - Workday, Inc. - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128 - Excerpt: Principal Machine Learning Engineer 3 Locations posted: Posted 7 Days Ago ### Senior ML Software Engineer, Data Plane - Amazon - Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified) - Salary: Not disclosed - Posted: 2026-05-15 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10420847/senior-ml-software-engineer-data-plane - Excerpt: Senior ML Software Engineer, Data Plane Tel Aviv-Yafo, Tel Aviv, ISR The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration. Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models. This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack. Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism. - Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets. - Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup. - Own features end-to-end: from design through implementation, testing, and ### Senior Software Development Engineer, AI Data Platform - Oracle - Location: United States, US (unspecified) - Salary: $79K-$178K - Posted: 2026-06-02 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Adoption assistance: yes (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/330553/ - Excerpt: Senior Software Development Engineer, AI Data Platform United States, US Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution. Design, implement, and maintain scalable software components and services that support AI/ML workloads. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services. Optimize performance, scalability, and reliability of distributed data/AI systems. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables. Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos). Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering. Primary Skills: Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel). ### Computer Scientist 2 (C++) - Adobe Inc. - Location: Noida (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2--C---_R167185-1 - Excerpt: Computer Scientist 2 (C++) Noida posted: Posted 4 Days Ago ### Software Dev Engineer, EC2 Nitro - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-04-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10391434/software-dev-engineer-ec2-nitro - Excerpt: Software Dev Engineer, EC2 Nitro Seattle, Washington, USA Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new ### Lead Engineer – Embedded Software Development (M/F/D) - Baker Hughes - Location: PL-PDK-WARSAW-ALEJA KRAKOWSKA 110/114 BLD 3014613 (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/PL-PDK-WARSAW-ALEJA-KRAKOWSKA-110114-BLD-3014613/Lead-Engineer---Embedded-Software-Development_R164226-1 - Excerpt: Lead Engineer – Embedded Software Development (M/F/D) PL-PDK-WARSAW-ALEJA KRAKOWSKA 110/114 BLD 3014613 posted: Posted Today ### Senior Software Engineer, EC2 Nitro - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-06-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10445128/senior-software-engineer-ec2-nitro - Excerpt: Senior Software Engineer, EC2 Nitro Seattle, Washington, USA Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new ### Senior Machine Learning Engineer - Adobe Inc. - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334 - Excerpt: Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago ### Software Development Engineer, Data Plane, Network Product Development - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-03-31 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10380507/software-development-engineer-data-plane-network-product-development - Excerpt: Software Development Engineer, Data Plane, Network Product Development Cupertino, California, USA AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is looking for Software Development Engineers to develop state of the art Linux based networking platforms. You will join a team of engineers developing embedded routing platforms that enable one of the world's largest and complex networks. We are seeking engineers with a demonstrated track record of designing and implementing Linux-based solutions on embedded devices, ideally for networking products. We want people who are passionate about changing the way data center networking is done. Plenty of complexity and scope for your next challenge! Why ### Machine Learning Hardware Architect, Google Cloud Silicon - Google - Location: Tel Aviv, Israel; +1 more (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSb5Ztykt9GDsvh6yLbwO-evuOGmXD_5EQqAaQPmH2tWEjsACxwdTMl4OZe1mY6_aHFFTY-l0no3ftkwoAKkPJ4hydQVfwpgzbzzWGcZKYmHXc2zpuD1TP7jbFTpkw%3D%3D_V2&loc=IL&title=Machine+Learning+Hardware+Architect - Excerpt: Machine Learning Hardware Architect, Google Cloud Silicon Tel Aviv, Israel; +1 more In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will own and lead the architecture of the Google Edge AI accelerators. You will work with the Google AI community and with external partners. You will combine the latest innovations in Machine Learning and integrated circuits to create advanced hardware acceleration solutions for Machine Learning training and inference. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on ### Principal Software Engineer, AWS Lambda Experience - Amazon - Location: Dublin, IRL (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10433945/principal-software-engineer-aws-lambda-experience - Excerpt: Principal Software Engineer, AWS Lambda Experience Dublin, IRL Are you passionate about building the foundational systems that power serverless computing for millions of customers worldwide? AWS Lambda is looking for a Principal Engineer to join our Lambda Experience team in Dublin, Ireland, where you will define the technical vision and drive the architecture for the Lambda execution environment, the system that execute customer code across the globe. AWS Lambda is one of the fastest-growing services in AWS and sits at the heart of serverless computing. The Lambda execution environment is responsible for securely launching and managing the compute environment where customer code runs. This includes the orchestration of microVM-based isolation using Firecracker, the management of execution environments, and the runtime interfaces that bridge customer code with the Lambda platform. The systems you will work on process millions of invocations per second, operate across multiple AWS Regions, and must deliver consistently low latency while maintaining the highest standards of security and isolation. As a Principal Engineer on this team, you will own the long-term technical strategy for the Lambda execution environment, working at the intersection of systems programming, virtualization, and cloud infrastructure. You will design and build the next generation of execution environment management, tackle challenges in cold start optimization, resource scheduling, and multi-tenant isolation, and drive the evolution of our Rust and Linux kernel-level components so that, among other things, they are ready to carry our customers' next generation workloads, including agentic ones. You will operate as both a hands-on ### Machine Learning Engineer - Evergreen - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1 - Excerpt: Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago ### Sr. Software Development Engineer, Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-10-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3105124/sr-software-development-engineer-annapurna-labs - Excerpt: Sr. Software Development Engineer, Annapurna Labs Seattle, Washington, USA In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads. Key job responsibilities * Provide technical leadership to the Neuron Core Tools team * Work closely with the frameworks and compiler teams. * Collect requirements from various other teams including training, inference and runtime. * Collaborate with the compiler performance team to ensure timely release of the core performance tools. * Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even ### Senior Associate, Cloud FinOps Engineer - Pfizer - Location: Greece-Thessaloniki Chortiatis (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Greece-Thessaloniki-Chortiatis/Senior-Associate--Cloud-FinOps-Engineer_4959132 - Excerpt: Senior Associate, Cloud FinOps Engineer Greece-Thessaloniki Chortiatis posted: Posted 2 Days Ago ### Software Development Engineer, Neuron Foundation Tools - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-03-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3202423/software-development-engineer-neuron-foundation-tools - Excerpt: Software Development Engineer, Neuron Foundation Tools Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the ### Computer Scientist 2 (C++) - Adobe Inc. - Location: Noida (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2--C---_R165616-1 - Excerpt: Computer Scientist 2 (C++) Noida posted: Posted 30+ Days Ago ### Senior Software Development Engineer, EC2 VPC - Amazon - Location: San Diego, California, USA (unspecified) - Salary: $168K-$227K - Posted: 2025-09-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3089888/senior-software-development-engineer-ec2-vpc - Excerpt: Senior Software Development Engineer, EC2 VPC San Diego, California, USA The primary location for this position is San Diego, CA. Do you want to shape the future of virtualized (SDN) networking in the world's biggest public cloud? The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal i.e. true Software Defined Networking (SDN). We are growing fast, and are looking for kernel/embedded C leaders who can deliver ultra high performance - our goal is to be processing millions of packets per second on a CPU core. This requires both being able to implement highly optimized data structures, but also low level (including by hand assembly and vectorizing) tuning to our hardware. If you have good experience in C/C++, and a passion for systems software engineering such as kernel or embedded development, then this is a unique opportunity to join us at day one of building the platform which is the basis for all new EC2 VPC features in the years to come. Your responsibilities will include: - Being the lead engineer on a small team, mentoring junior engineers, ensuring the right development practices are followed. ### Linux PKI Enterprise Systems Engineer - Leidos - Location: Huntsville, AL (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Linux-PKI--Enterprise-Systems-Engineer_R-00181579 - Excerpt: Linux PKI Enterprise Systems Engineer Huntsville, AL posted: Posted 30+ Days Ago ### Software Engineer, EC2 Nitro - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10430582/software-engineer-ec2-nitro - Excerpt: Software Engineer, EC2 Nitro Seattle, Washington, USA Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new features ### Machine Learning Engineer - CyberArk - Location: Office - USA - CA - Headquarters (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194 - Excerpt: Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago ### Software Engineer III, Pixel Graphics - Google - Location: Warsaw, Poland (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQvDL_VEZ3pjVsagKHo9eKLtCA8CAI1yaL12WEfGeETYEjsACxwdTDRS0c2ybH-VyacjgzzZg712l3rC9K6mNKhcwd7GPfCPWPfbnenSaQKMmy8Z0HSMODgFxNzvfg%3D%3D_V2&loc=PL&title=Software+Engineer+III - Excerpt: Software Engineer III, Pixel Graphics Warsaw, Poland Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a member of Pixel's Graphics Processing Unit (GPU) driver team, you will share ownership of the kernel GPU driver and the user-space graphics driver stack. You will be involved in developing new features, devising performance improvements, bringing silicon up, debugging challenging problems, and in identifying future requirements for both software and hardware in Pixel products. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's ### Linux Systems Administrator (NDA-2) - Leidos - Location: 3325 Fort George G. Meade MD (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://leidos.wd5.myworkdayjobs.com/External/job/3325-Fort-George-G-Meade-MD/Linux-Systems-Administrator--NDA-2-_R-00181933-1 - Excerpt: Linux Systems Administrator (NDA-2) 3325 Fort George G. Meade MD posted: Posted 30+ Days Ago ### Software Development Engineer , EUC Client - Amazon - Location: Sunnyvale, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-06-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10445228/software-development-engineer-euc-client - Excerpt: Software Development Engineer , EUC Client Sunnyvale, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The way the world works is undergoing enormous change. People are working remotely, on the go, and moving from one project to the next. And, they're collaborating across borders, time zones, and organizations. We built Amazon Web Services End User Computing (EUC) services to give companies the agility to respond to the changing needs of their workforce. Our vision is to be the best place for customers to run and access their desktops and apps from any device. As we continuously innovate to increase workforce productivity, we are looking for a software engineer to build a new service to realize that vision. More information about Amazon End- User Computing can be found here: https://aws.amazon.com/products/end-user-computing/ Key job responsibilities We are looking for a Software Development Engineer who is excited by the unique challenges in this space, and who is able to think strategically as well as drive implementation. --- Source-backed benefit claims include source links; other benefit values are labeled separately.