Kernel jobs

Senior Embedded Software Engineer - Android Berlin, Germany About the role As a Senior Embedded Engineer in SumUp's Hardware Tribe, you will be part of a small and highly skilled cross-functional team working alongside Hardware Engineers, Product Managers, QA Engineers, and more. You will play a central role in bringing up SumUp's next-generation Android-based payment devices - from bootloader and kernel all the way through to framework integration and validation. This is a relatively new role as SumUp transitions to the Android platform for its in-house hardware products. Unlike most Android devices, our hardware is a highly customised, security-focused payment device built from scratch - requiring a deep understanding of both embedded hardware and software. The role is based on-site in our office in Berlin. We believe in the power of face-to-face conversations that happen organically when working next to one another. About the team You have probably used our card readers to buy a cappuccino or pay your hairdresser already. In Hardware, we are passionate about creating beautifully designed card payment devices and accessories that enable our merchants to start, run, and grow their own businesses. In doing so, we deal with a diverse range of engineering topics - industrial and electronic design, embedded systems, all the way to mobile apps and backend services. We believe in open communication and constant learning over strict rules. If you're looking for the chance to innovate and help millions of small independent merchants succeed - join us! What you'll do - Perform

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

Information Security Engineer - Endpoint New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We're looking for someone who has spent years thinking adversarially about Windows and Active Directory - not just operating them, but understanding every layer of how they can be abused, detected, and hardened. If you've written detections for DCSync, built hunting pipelines around Kerberos ticket anomalies, or reverse-engineered a novel persistence mechanism in a Windows kernel driver, this is the team you want to be on. As an Information Security Engineer focused on Windows and Active Directory, you'll own the security of Palantir's global Windows infrastructure. Your team runs 24/7 prevention, detection, and investigation of security events across our entire environment. The adversaries we face are sophisticated. We need someone who is more so. The Role We're looking for someone who has spent years thinking adversarially about Windows and Active Directory - not just operating them, but understanding every layer of how they can be abused, detected, and hardened. If you've written detections for DCSync, built hunting pipelines around Kerberos ticket anomalies, or reverse-engineered a novel persistence mechanism in a Windows kernel driver, this is the team you want to be on. As an Information Security Engineer focused on Windows and Active Directory, you'll own the security

Staff Software Engineer, Storage 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. Platforms Storage is responsible for building storage solutions for all of Google's services (e.g., Artificial Intelligence/Machine Learning (AI/ML) Systems, Cloud, Search, Photos, YouTube etc.). The team designs and develops the platforms' software and solutions for NAND flash, Solid-State Drives (SSDs), storage appliances, and next-generation storage technologies. We develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. We develop qualification frameworks, solutions and processes working with the vendors. We are responsible for maintaining and ensuring supply for all the flash in Google's fleet. In this role, you will contribute to enhancing the capabilities in all of the areas. The AI and

Machine Learning Data Scientist 2 Locations posted: Posted 10 Days Ago

Junior Linux System Admin GBR - GLS - GLOUCESTER posted: Posted 11 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

Vice President, Platform Engineering Palo Alto, California, United States of America | Spring, Texas, United States of America

Embedded Linux 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 in

Python Developer (Cloud / ML / Databricks) POL - PM - GDANSK posted: Posted 30+ 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

Full‑Stack Machine Learning Engineer UK - London (London Wall) posted: Posted Yesterday

Systems Research Engineer, GPU Programming San Francisco About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills - Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower

Working Student (f/m/d) Office Support & Embedded Programming Dresden posted: Posted 11 Days Ago

Applied Math Libraries Engineer (SPU) Redwood City | OnSite Vorticity is building the world's first Scientific Processing Unit (SPU https://pyrite9.com), a new class of silicon purpose-built to accelerate scientific computing beyond the limits of GPUs. We are designing tightly coupled software-hardware systems around applied mathematics workloads to deliver order-of-magnitude performance gains. Unlocking its full potential requires early, deep engagement from applied mathematics-driven software engineers who can translate real-world scientific workloads into executable models, kernels, libraries, and applications that inform both architecture and tooling decisions. As a Applied Math Libraries Engineer, you will work at the intersection of applied mathematics, scientific computing, and low-level software. From day one, you will help build the numerical software foundation of the SPU. This role is focused on building reusable mathematical primitives rather than full end-to-end scientific applications. The ideal candidate is excited to implement mathematics on a new architecture. You will work closely with hardware architects, compiler engineers, and runtime engineers to shape how numerical algorithms are expressed, executed, and optimized on the SPU. This position is ideal for someone who enjoys moving fluidly between applied math, numerical algorithms, and low-level software, and who wants to help build a new scientific computing platform from the ground up. RESPONSIBILITIES - Prototype and implement core numerical linear algebra kernels and libraries for the SPU. - Translate mathematical algorithms into executable, performance-relevant software. - Write C, C++, and Python reference implementations to guide hardware, compiler, and runtime decisions. - Design benchmarks, correctness tests, numerical accuracy tests, and

Senior Software Engineer, Machine Learning Inference US, CA, Santa Clara posted: Posted 30+ Days Ago

SONiC Networking SW Developer City Guindy, Chennai | State/Province Chennai | Country India Req ID: 135880 Remote Position: Region: Country India State/Province: State/Province Chennai City Guindy, Chennai Summary We are seeking a Senior Staff /Staff Engineer, Networking to join our Sonic NOS/SDK team. This is a senior-level, Individual contributor position focused on the development and sustenance of Network Operating Systems(NOS) for white-box switching platforms. The ideal candidate has a strong background in NOS architecture, L2/L3 protocol development, ASIC integration, and programming in C/C++. This is a pure individual contributor (IC) role. You'll collaborate with global engineering teams and work at the forefront of NOS software design, enabling advanced networking solutions for data center and enterprise environments. Detailed Description • Should have a strong command over "C" programming language/C++ and must have executed projects in it. • Should have a solid exposure of programming ASICs (Broadcom, Marvell, Innovium, P4) and must have done projects around it. • Should have a very good knowledge of Linux kernel from a networking perspective. • Exposure to ebtables/iptables preferred. • Must have a good understanding of configuration management technologies and streaming telemetry technologies. • Must have good communication skills and be willing to work in a multi-cultural and multi-regional high performance team. Knowledge/Skills/Competencies Technical Core • NOS Development or Sustenance NOS Experience: o SONiC (preferred), Cisco IOS, Juniper JUNOS, A

Machine Learning Engineer Bogotá,Colombia

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

Linux Systems Administrator San Jose, California posted: Posted 30+ 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

Cloud and Infrastructure Systems Administrator - Linux admin Denver, CO, US posted: Posted 17 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

Intel Process Integration Engineer - (FE) 2 Locations posted: Posted 3 Days Ago