Kernel jobs

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

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

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 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 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 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

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.

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

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

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

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

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

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) 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 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,

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) 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) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

Senior/Principal Linux Security Analytics Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted Yesterday

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 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 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 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) 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