Kernel jobs

Software Engineer, Operating Systems Virtualization CAN Kanata (2), ON - WR posted: Posted Yesterday

Performance Engineer 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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: - Have significant software engineering or machine learning experience, particularly at supercomputing scale - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers Representative projects: - Implement low-latency high-throughput sampling for large language models - Implement GPU kernels to adapt our

Vulnerability Researcher Seattle, United States of America Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding our users, we believe that the best defense requires a great offense. When it comes to securing more than a billion devices running the world's most sophisticated operating systems, that means finding vulnerabilities first. Can you make a difference on this scale? Join our extraordinary team of security researchers and help protect all Apple users. Our team is dedicated to safeguarding Apple products, encompassing everything from the microarchitecture to applications like Safari, Mail, and Messages. Our responsibilities include evaluating the security of iOS and macOS (kernel and user-land), boot ROMs, firmware, and hardware. By collaborating with a diverse range of teams and vendors, your influence will be felt across Apple's products, including the iPhone, iPad, Mac, and Apple TV. As a team member, your primary role will involve conducting vulnerability research on Apple software, firmware, and hardware components. Analyzing and exploiting vulnerabilities is a crucial aspect of this position. This role demands individuals with robust technical skills and a genuine passion for securing systems by demonstrating their vulnerabilities. If you resonate with these qualities, we would be delighted to hear from you. Minimum Qualifications: Proven experience in vulnerability research and binary exploitation Excellent understanding of common vulnerability classes and exploitation techniques Creative & effective problem-solving and analytical skills Strong written and verbal communication skills Preferred Qualifications: Excellent knowledge of the security architecture of at least

Machine Learning Engineer, Asia 2 Locations posted: Posted Today

Senior Machine Learning Engineer I Shanghai posted: Posted 8 Days Ago

Machine Learning Engineer, AI Models Cyprus 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. Join Tenstorrent's AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You'll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. 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 - Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. - Analyze model behavior and performance, and identify bottlenecks across

Linux System Engineer Chantilly, VA posted: Posted 30+ Days Ago

Inference Technical Lead, On-Device Transformers San Francisco, California, United States About the Team The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role, you will: - Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models. - Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth. - Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities. - Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads. - Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems. - Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build

Computer Vision and Machine Learning Engineer Sunnyvale, United States of America Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackles previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in computer vision and deep learning. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology? We seek a proactive Computer Vision and Machine Learning Engineer to join our team

Technologist, Software Development Engineering : 14+ years Server and Storage Bengaluru, KA, India Company Description: At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description: We are seeking an accomplished Platform Software & Firmware Technologist with deep expertise in system architecture, validation, low‑level storage technologies, and kernel/software stack integration . In this role, you will play a vital role in next‑generation storage systems that span device firmware, kernel subsystems, filesystems, system software, and application‑level abstractions . You will collaborate with cross geo teams for emerging storage

Software Engineer, OS and System Services Seattle, United States of America The Apple Cloud Engineering team is looking for an exceptional software engineer to build and integrate software to orchestrate workloads across highly performant and energy efficient systems that will power the next generation of data centers. In this highly collaborative role, you will be at the center of multiple efforts to utilize hardware acceleration for machine learning and high performance computing workloads. You will be part of a team that builds and maintains system software such as kernel drivers, runtime libraries, frameworks, and daemons that will power the next generations of data centers. You will partner with teams across Apple to adapt, tailor, and scale software on a novel compute platform and will help to build the foundation of our future cloud architecture. We are looking for someone with proven mastery building and managing scalable, resilient systems. You should have a strong mix of education and practical experience with a real passion for diving head first into challenging problems. We are seeking a skilled Software Engineer to join our System Software Team focused on optimizing and maintaining the core infrastructure of our data center environments. You will work cross-functionally with architecture, platform design, SOC architects, and software teams to develop and integrate best in class hardware, software, and services. You will be responsible for building and maintaining system infrastructure that powers the next generation of data centers. You will ensure high quality and agility with unit tests, integration tests

Senior Platform Security Engineer - HP IQ San Francisco, California, United States of America

Principal Machine Learning Platform Engineer (Prisma AIRS) Santa Clara, United States of America posted: Posted 18 Days Ago

Software Development Engineer Shanghai, CN At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you'll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives. Sonos is seeking a Senior Embedded Software Developer to join the newly formed Diagnostics & System Team. In this hands-on role, you will be responsible for some of the core software and firmware that will enable new and innovative solutions for the home and businesses. In the process, you will work with some of the brightest minds across multiple disciplines of software, hardware, radio, acoustics, WiFi, and Bluetooth technologies. This is an opportunity to join a high-performing team tasked with delivering these innovative, new products to market. What You'll Do Write clear, reliable, maintainable code Decompose problems into logical components that can be cleanly implemented and efficiently executed in software Design new features and maximize the potential of existing technologies Modify existing software to adapt it to new hardware, correct errors, upgrade interfaces and improve performance Debug complex low-level problems that may span interfaces between hardware and software Contribute to the suite of developer unit tests using GTEST Collaborate with software engineers, PM, QA and UX to design and deliver unique, innovative new features that delight our customers Drive your work forward and

Linux Systems Architect - Level 3/4 United States-California-Redondo Beach

TL, Research Inference San Francisco, California, United States About the Team The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained. About the Role In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability. Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications. This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale. In this role, you will: - Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability. - Own and optimize core execution paths, including model execution, memory management, batching, and scheduling. - Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination. - Implement and optimize inference-critical operators and kernels informed by real-world workloads. - Partner closely with research teams to

Product Manager - Data Intelligence Edinburgh, UK Product Manager - Data Intelligence

Senior Software Engineer Santa Clara, CA or Remote Join us in pioneering the next generation of nuclear reactors! You'll leverage your software skills alongside nuclear engineers to model, simulate, design, and deploy advanced fission power technology. You will work at the forefront of the nuclear industry, developing novel techniques to reach new levels of safety, efficiency, and resiliency. Come be a part of powering the future with advanced fission power plants to provide clean, reliable, affordable energy. Position Description Oklo is a fast-moving startup where you will be responsible for tackling a wide range of challenges in reactor design and analysis. A nuclear background is not required, but a healthy curiosity and eagerness to learn are essential in this role. Specific responsibilities may include: - Lead the design of systems for storing and retrieving reactor data and physics results at scale - Architect and own CI/CD pipelines for multiphysics analyses, ensuring reliability, observability, and reproducibility of complex simulations - Develop tools and platforms that enable reactor engineers to visualize, compare, and evaluate reactor designs - Develop physics kernels to solve unanswered problems, or to improve performance of existing models - Develop reactor optimization schemes and statistical experiments to inform design changes - Mentor other engineers, set technical direction, and contribute to building a strong engineering culture Minimum Qualifications: - Bachelor's degree in computer science, computer engineering, or equivalent work experience - 8+ years of professional software engineering experience - Fluency in Python - Strong proficiency with Git - Experience designing,

Infrastructure Engineer Mountain View, CA What MatX Is Building We're a small engineering team designing a custom chip. The work is compute-heavy and tooling-heavy: hermetic builds, large verification jobs, custom developer environments, a self-hosted CI fleet, and a steadily growing collection of internal services that engineers depend on every day. The infrastructure that supports all of this - CI/CD, compute, shared filesystems, networking, internal tooling - already exists and has a system owner. We're hiring a second infrastructure engineer to broaden our capacity and add depth in areas adjacent to what we already have. We're looking for a strong generalist with a network and systems bent. Someone who's comfortable debugging a Linux kernel issue in the morning, untangling a cloud networking problem at lunch, and writing a new MCP server for an unfamiliar protocol in the afternoon. What You'll Do Here - Day to day, the work spans: Linux and networking work (the core of the role) - Diagnose and fix issues across the OS, network, and cloud stack - Reason about routing, DNS, firewalls, VPCs, private connectivity, and trust boundaries - Track down "permission denied" that's actually a mount option, or "build is slow" that's actually a metadata-server timeout - Improve, harden, and extend the network and host configuration we already have Building tools and integrations - Write internal tools, scripts, and small services that make the engineering team faster - Pick up unfamiliar protocols and codebases and ship working integrations against them Supporting the infrastructure stack - Pair

Red Hat Enterprise Linux Specialist Solution Architect Singapore posted: Posted 30+ Days Ago

Senior Software Development Engineer, EC2 VPC San Diego, California, USA The primary location for this position is San Diego, CA. Do you want to shape the future of virtualized (SDN) networking in the world's biggest public cloud? The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal i.e. true Software Defined Networking (SDN). We are growing fast, and are looking for kernel/embedded C leaders who can deliver ultra high performance - our goal is to be processing millions of packets per second on a CPU core. This requires both being able to implement highly optimized data structures, but also low level (including by hand assembly and vectorizing) tuning to our hardware. If you have good experience in C/C++, and a passion for systems software engineering such as kernel or embedded development, then this is a unique opportunity to join us at day one of building the platform which is the basis for all new EC2 VPC features in the years to come. Your responsibilities will include: - Being the lead engineer on a small team, mentoring junior engineers, ensuring the right development practices are followed.

Senior Machine Learning Engineer Warsaw posted: Posted 9 Days Ago

Software Engineer, EC2 Nitro Seattle, Washington, USA Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new features

Machine Learning Engineer Shanghai, China posted: Posted 30+ Days Ago