Kernel jobs

Principal Engineer Software (Machine Learning) Santa Clara, United States of America posted: Posted 4 Days Ago

Embedded Linux Engineer Dhaka, Dhaka Division, Bangladesh Company Description: AlemHealth's hardware ensures that patients anywhere in the world can have access to accurate and timely diagnosis today. To do that better, we're looking for an embedded Linux engineer who will be responsible for building a stable and secure Linux distribution for AlemHealth's Linux-based custom hardware. If you are comfortable working in all aspects of the Linux OS stack: boot loaders, the Linux kernel, kernel drivers, userland deployments, typical system applications, and cross compilation environments, you should apply. You'll be using your talents to save lives, which we think is pretty cool. Job Description: Responsibilities · Own the Linux deployments across all of the AlemHealth embedded systems. · Integrate and port custom drivers and software onto AlemHealth embedded systems. · Perform security hardening, auditing, and review of AlemHealth's embedded Linux deployments. · Work with application Software Engineering teams to facilitate porting of complex applications to a security hardened Linux userland. · Assist with maintenance of the embedded system application developer toolchain and build system. Qualifications: Qualifications Minimum qualifications: · Experience with Unix system fundamentals and Linux ecosystem. · Experience building and configuring Linux userland installations (the base OS). · Experience in C/C++ and build systems; coding for systems programming and daemon development. · Experience using linux debugging tools to explore memory leaks, network reliability and performance issues, and I/O issues. Additional Information: Preferred Qualifications · Experience with uboot, fastboot, and modern Linux kernels. · Experience with Nvidia GPUs and Linux4Tegra. ·

Software Engineer, Sandboxing (Systems) San Francisco, CA | New York City, NY 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. Anthropic is seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll work on accelerating and optimizing our virtualization and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models. Responsibilities: - Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments - Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure - Investigate and resolve performance bottlenecks in virtualized environments - Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware - Develop tooling for monitoring and improving virtualization performance - Work with our ML engineers to understand their computational needs and optimize our systems accordingly - Contribute to the design and implementation of our next-generation compute infrastructure - Share knowledge with team members on low-level systems programming and Linux kernel internals - Partner with cloud providers to influence hardware and platform features for

Machine Learning Engineer San Jose posted: Posted 7 Days Ago

Staff Specialist Machine Learning Engineering Ahmedabad (India)

Principal Software Engineer - SDK & Lowering Stack Santa Clara, Santa Clara, Ca, Ca, United States At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Santa Clara, CA, headquarters, but open to other locations within the US/Canada. The role: Principal Software Engineer - SDK & Lowering Stack What you will do: - Help architect and develop the kernel authoring SDK that targets our novel Corsair dataflow architecture. - Champion software engineering best practices across the team by establishing robust CI/CD pipelines, driving automated testing, and enforcing rigorous code review processes. - Build intuitive, domain-specific APIs, determining the optimal boundaries for kernel developers and compiler teams. - Create development tools to be used in kernel authoring and modeling lowering flows. - Lead and mentor junior engineers, fostering a culture of technical excellence, accountability, and collaborative problem-solving. - Leverage systems engineering ability to understand complex interactions between hardware and software components, proposing and implementing solutions integral to the software stack. - Take ownership of delivering

Open-Source Machine Learning Engineer - US Remote

Senior Engineer - Embedded Linux Hadapsar, Pune, Maharashtra, IND, 411013

Senior Embedded Software Engineer Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Our DeviceOS team develops the operating system that powers Anduril's robots. As a member of the DeviceOS team you will build Anduril's platform for running software on Anduril's robotics systems. Your software will be deployed on robots operating on land, sea, and air. You will be responsible for the full lifecycle of software development projects including design, implementation, automated testing, field testing, and deployment support. WHAT YOU'LL DO - Board bring-up and maintenance on embedded ARM boards (device trees, bootloaders, kernel drivers, etc) - Customize vendor BSPs for use with NixOS systems - Help secure our embedded Linux systems REQUIRED QUALIFICATIONS - Familiarity with triaging vulnerability reports and mitigating vulnerabilities by patching system components. - Experience with Linux kernel development - Experience with uboot, EDK2, platform firmware, etc - Interest

Linux\AIX\Container SAU - RIYADH posted: Posted 30+ Days Ago

Quantitative Software Developer Intern New York, London, or Paris Job Description We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams. Desirable Candidates - Undergraduate or graduate candidates in computer science or engineering - Significant experience in Python, C++, C, or Java - Serious interest in systems programming (e.g. Linux kernel development, compilers, embedded systems, networking, file systems, debuggers) - In-depth understanding of how userland programs run on Linux and interact with the kernel - Some basic knowledge of Git, databases (e.g. MySQL), and web development frameworks is a plus - Clear, concise, and proactive communicator - Detail-oriented - Willing to take ownership of his/her work, working both independently and within a small team

Machine Learning & Data Scientist, OS Power & Performance, CoreOS San Diego, United States of America Great performance is critical to Apple's product experience. We are seeking a Machine Learning & Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software & hardware performance excites you, we encourage you to apply! We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. Analyze high dimensional data to derive meaningful insights. Produce metrics, models, simulations, and tools for analysis & communication of insights from large datasets. Apply statistical analysis to solving business & product-development problems. Write production level code. Provide meaningful insights to teams and influence decisions across Apple on a broad range of products. Minimum Qualifications: Strong Quantitative Foundation: Education

Software Engineer | C/C++, Kernel, Multithreading, Linux, Data Structures| 8-10 years Bangalore, India Meet The Team We deliver common software modules for Cisco Network Operating System (NOS) IOS XR and work on routing protocol software, transport protocols and critical infra for overlay services like VXLAN, EVPN. We are responsible for layers starting with the kernel and Operating System, core infrastructure such as IPCs, databases, pub-sub mechanisms, state management, routing/forwarding infrastructure, management interfaces like CLI or specific programmable APIs, security and services like 3rd party application hosting. We employ some of the finest talents in the industry to architect, design and develop products and solutions for world's largest web scalers, cloud companies and SPs. Your Impact As a key member of Cisco IOS XR Platform Independent Software Development team, you will: Collaborate with account teams, product management, other engineering team, architect and design sophisticated product requirements/challenges. Demonstrate strong technical leadership via innovative solutions to customer problems including successful deployment. Partner with other senior architects across Cisco on new opportunities and broad initiatives. Be in the forefront of development of complex projects, working with managers for detailed planning and execution strategy, identify intermediate, well-defined achievements. Act as a mentor and develop strong technical talent, leading towards development of long-term expertise, technical competency. Do innovation within the team and chip in to Cisco's intellectual property. Strengthen product quality by identifying hot spots and deriving solution for the same. Keep up to date with technology trends relevant to the group, adopt newer technologies and

Linux and UNIX Architect / SME Noida posted: Posted 30+ Days Ago

Principal Machine Learning Engineer Redmond, WA, US

Member of Technical Staff (AI Inference Engineer) London, UK, United Kingdom We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. Responsibilities: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. Who we're looking for: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the

Machine Learning Engineer 4 San Jose posted: Posted 30+ Days Ago

PK/PD Principal Scientist US Remote posted: Posted 17 Days Ago

HPC Performance Engineer New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What you'll do: CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team's primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions. Kernel H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ubelet Our Team's Stack: - Python, Go, bash/sh, C - Prometheus, Victoria Metrics, Grafana - Linux Kernel (custom build), Ubuntu - Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

Platform Security Research Engineer Bristol, Bristol, City of, United Kingdom

ML Systems Performance Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate

On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML Cupertino, United States of America Imagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. We're building an end-to-end developer experience for machine learning development that brings to bear Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful cluster, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an experienced ML Infrastructure Engineer with a specific

Software Engineer - Embedded, C/C++, Device Driver, Kernel, AI Agent, Exp – 4-8 Yrs, Bangalore Bangalore, India Meet the Team Join the Cisco IIOT team in product development for Industrial IOT switching and routing products that transforms industrial operations. Cisco's IIOT team provides an outstanding, unique experience for software engineers by combining the resources offered by a sizable multi-geography organization and a large campus (with an on-site gym, healthcare, café, social interest groups, and philanthropy) with the startup culture and breadth of growth opportunities that working in a smaller teams can provide. Your Impact Design and development of IIoT hardware platforms, ensuring seamless integration between hardware and software layers. Design and development of control plane and data plane software for Cisco IIOT Switching, Routing products. Design and develop low-level software components, including BSP, device drivers and kernel modules. Analyse requirements and problem statements to come with right software designs and solutions. To be able to write details Design documents and Functional Specifications. To Code and Unit Test Software components and modules. It is required to have strong white- box testing and automating skills Triage, debug, and root cause simulation, software bring-up, and customer failures To be able to innovate and come up with new ideas that can lead to filing patents and creating IP value for the company Minimum Qualifications: Bachelors (5-8 years) or Master's degree(3-6 years) in Computer Science, EE/ECE or related fields. Proficient in writing quality code in C/C++ Strong understanding of OS (e.g. Linux, RTOS, Unix) and

Cloud Platform Engineer Bengaluru, Karnātaka, India Join our team as a Senior Cloud Platform Engineer and help shape the future of scalable, high-performance cloud infrastructure at eBay. Drive innovation in Kubernetes, Linux kernel development, and automation, collaborating with top talent to deliver robust solutions for millions of users. Grow your career with a global leader in ecommerce technology.