Kernel jobs

Director, Technical Services, Public Sector, Cortex & Cloud 2 Locations posted: Posted 15 Days Ago

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 2 Locations posted: Posted 4 Days Ago

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 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 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 Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago

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 Dresden posted: Posted 11 Days Ago

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 CA - Virtual - E posted: Posted 4 Days Ago

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 San Jose posted: Posted 27 Days Ago

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 San Jose posted: Posted 30+ Days Ago

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 2 Locations posted: Posted 30+ Days Ago

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 US-NY-SKANEATELES-721 VISIONS DRIVE posted: Posted 30+ Days Ago

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) Office - USA - CA - Headquarters posted: Posted 11 Days Ago

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 2 Locations posted: Posted 30+ Days Ago

Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago