Kernel jobs

Staff Applied Research Scientist (Datagrid) US - California - San Francisco posted: Posted 3 Days Ago

Principal Linux Driver Engineer Chengdu, , China Company Description: Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world's leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what's next in electronics and the world. Job Description: Driver Development & Maintenance : Design, develop, debug, and optimize Linux kernel drivers to ensure high performance and stability. Architecture Design : Participate in system architecture discussions and propose driver-level solutions to optimize hardware-software interaction. Performance Optimization : Analyze system bottlenecks, perform kernel performance profiling, and optimize I/O, memory management, and interrupt handling.

Machine Learning Engineer San Jose posted: Posted 30+ Days Ago

Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago

Linux Embedded Development Expert Kfar Saba, Center District, Israel Company Description: Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description: We are seeking a highly skilled Linux Embedded Development Engineer with a robust background in C/C++ programming, kernel and driver development, and hands-on experience with the open-source Linux kernel community. The ideal candidate has a deep understanding of embedded systems, strong problem‑solving skills, and the ability to work both independently and collaboratively within a team. In addition, the candidate should be comfortable leveraging AI‑assisted development tools (e.g., code suggestion, static analysis,

Member of Technical Staff - Compute Infrastructure Palo Alto, CA; Seattle, WA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack - from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization - to make training and inference at xAI as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress. RESPONSIBILITIES : - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA

Advisory Linux Systems Software Engineer Boulder, CO, United States Advisory Linux Systems Software Engineer

Director, Cloud Engineering Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago

Senior Embedded Engineer, AI IP Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking s Software Driver Developer to create reference drivers for our AI-IP in a reference system. You will also support our AI-IP customer optimizing our reference driver into our customer specific systems. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Deep systems engineer with 7+ years experience in drivers or low-level systems programming. - Strong proficiency in C and C++ with solid understanding of hardware-software interfaces. - Familiar with Linux kernel concepts and how kernel and user-space components interact. - Experience working with external customers or partners to define and support driver or hardware interfaces. - Exposure to safety-critical systems, automotive platforms, or Functional Safety

Machine Learning Researcher (NLP) KOR - Seoul, South Korea posted: Posted Today

Sr. Firmware Engineer Country Taiwan | City Bade Job Req ID: 28535 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Super Micro Computer, Inc. is seeking talented Sr. Firmware Engineer will be responsible for developing world class firmware to fully maximize the strong hardware architecture of in-house servers. We are looking for talented individuals who enjoy creating firmware for networking products, prototyping concepts, and investigating in new technologies. In this position, the candidate will collaborate with cross-functional teams to design robust networking products. Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned):. Responsible for designing, porting, defining, developing, and maintaining OpenBMC and Traditional BMC firmware for GPU server systems, Standalone Server System, Storage Systems.. Work closely with the software and hardware teams to develop and integrate embedded code Kernel and Drivers in BMC.. Work clo

Principal ML Engineer, Machine Learning Platform and Systems Architecture 31 Locations posted: Posted 30+ Days Ago

Performance Engineer, Inference Systems San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might

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

Principal Engineer - Enterprise OS Platform (Linux/Unix) Plano, Texas, United States of America Embrace the role of a Principal Engineer - Enterprise OS Platform (Linux/Unix) and drive the vision, roadmap, and evolution of Toyota's Linux/Unix platform. Lead automation, security, and AI initiatives, collaborating with cross-functional teams to deliver secure, scalable, and resilient enterprise infrastructure. Shape the future of mobility with Toyota's innovative technology landscape.

Embedded Firmware Engineer (Protect) Taipei About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you'll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Basic Qualifications - Proficiency in C/C++ - Familiar with Sigmastar / Ambarella platform - Proficiency with Video/ Audio streaming and transcoding - Understanding and experience with ARM platform - Experience with debuggers such as gdb, strace, etc - Embedded software development experience in Linux driver and both kernel & user modes are desired - Familiarity with some form of scripting (shell, python, nodejs) - Familiarity with Git version control - A genuine passion for embedded software development - A team player, who is very self-motivated, loves difficult challenges, and is goal driven - Ability to deliver on tight schedules - BS/MS in Computer Engineering, Computer Science or equivalent - Fluent in both written and spoken English to work effectively within a highly collaborative environment with colleagues around the world Preferred Qualifications - Experience with development boards such as Raspberry Pi, Arduino, BeagleBoard - Experience with build system

Machine Learning Engineer OPs - IT Fintech Bogotá,Colombia

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

Senior Software Engineer, Networking San Francisco, CA - US, San Francisco, California, USA Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As a Senior Software Engineer - Software Defined Networking, you will lead the development and execution of our Software Defined Networking strategy. You will work extensively with the Linux Kernel, utilizing technologies such as

Junior Consultant (Linux, Software development) Tokyo posted: Posted 15 Days Ago

UK Internship Program London, UK, United Kingdom Perplexity is excited to announce the Internship Program for exceptional Master's or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program. Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. Responsibilities - Work with the inference team to improve serving latency and throughput - Bring up support for new models and state-of-the art inference optimizations or quantization schemes - Optimize inference across the entire stack, from GPU kernels to serving endpoints Qualifications - Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc) - Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems) - Experience with ML frameworks (Torch, JAX) - Experience with GPU programming (CUDA, Triton) - Experience with High-Performance Computing (OpenMPI) Schedule - Internship program:

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

Hardware Engineer Intern Wichita, KS, USA Office (WICHITA)

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