Linux Jobs

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform. This role involves analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software, operating across the full stack from hardware and system software to networking, virtualization, and distributed communication layers.

$170k - $300k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure. This senior systems engineering role focuses on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. The engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the root cause of issues, developing new troubleshooting procedures for ambiguous problems. The role requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions.

$180k - $224k

Nebius is seeking a Sr. Solutions Engineer to serve as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. This role involves bridging customer requirements with internal engineering capabilities to ensure successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. You will be instrumental in supporting customers, investigating and resolving complex issues, and contributing to the continuous improvement of our systems.

$180k - $220k

Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will transform telemetry and workload data into clear findings and visuals, partnering with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting, coordinating these into tools the team uses. This role involves analyzing signals to identify opportunities for application and platform improvements, working with high-dimensional data to spot trends, and communicating conclusions to engineers and leadership.

$152k - $242k

NVIDIA is seeking a creative, hands-on software engineer with a test-to-failure approach to join our team. You will be responsible for building data-driven tools to improve software quality and ensure customers have the best experience with GeForce NVIDIA products. This role involves understanding software and hardware specifications, building reliable tests and tools in C++/C#/Python, and leveraging AI technologies for test case automation. You will also gain in-depth understanding of both Windows and Linux operating systems.

$140k - $270k

NVIDIA is seeking an experienced software engineer to help build NVIDIA AI for Media SDKs, a GPU-accelerated platform delivering AI-powered video, audio, and augmented reality capabilities for developers building media, content creation, and broadcast workflows. You will develop and optimize AI software across cloud and embedded platforms while advancing the build, validation, and delivery infrastructure behind our SDKs. This role combines strong C++ systems engineering, Linux expertise, accelerated inference, and software delivery automation. You will collaborate with algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware.

$184k - $357k

Join NVIDIA’s Hyperscale Engineering team to develop networking solutions for large-scale AI infrastructure. You will work with customers and engineering teams to build, integrate, and improve software for BlueField and ConnectX platforms. Your work will span software development, system integration, troubleshooting, and performance analysis, helping customers move from initial testing to production deployment.

$184k - $357k

NVIDIA is seeking a Senior Software Architect to join our GPU Communications Libraries and Networking team. This role involves co-designing next-generation data center platforms and scalable communication software crucial for advancing Deep Learning and High Performance Computing (HPC). You will investigate and identify communication performance bottlenecks, design and implement new communication technologies, and explore innovative hardware and software solutions for future platforms. This is an opportunity to break performance barriers and deliver cutting-edge technologies that power AI and HPC workloads at massive scales.

$184k - $357k

NVIDIA is seeking a highly motivated senior software engineer to join its communication libraries and network software team. This role involves developing and maintaining software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. You will be instrumental in designing and implementing highly-optimized communication runtimes and system software that enables interactions among GPUs and with other system components, contributing to the advancement of AI and HPC.

$152k - $288k

Sola is an AI-native platform reinventing enterprise process automation and disrupting legacy RPA tools. Our AI agents can execute complex workflows across any application, browser, desktop, or legacy system. We are looking for Forward Deployed Engineers to help bring Sola to the world's largest enterprises and rewrite the playbook for how automation is built. This role combines hands-on technical execution with customer-facing communication and partnership, focusing on solving complex customer problems and contributing to the platform's evolution.

$120k - $200k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI training labs. As a Senior Research Infrastructure Engineer, you will accelerate research on training and evaluating frontier AI agents by building the software and infrastructure that enables researchers to iterate on environments, collect trajectories, and evaluate model behavior. You will collaborate closely with research engineers to understand their needs, identify bottlenecks, and transform research code into robust, reusable systems, owning the tools, pipelines, and execution infrastructure that support their exploration and scaling of promising approaches.

$175k - $260k

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

$180k - $440k

Move the needle in testing NVIDIA's embedded software! As a highly skilled and motivated senior software developer, you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system, directly impacting the quality and performance of Nvidia's embedded software systems.

$140k - $270k

Salesforce is seeking a Senior/Lead Performance Engineer to join the SalesforceDB team, which manages the transactional database powering the Salesforce Platform. This role involves driving the design, scalability, and performance of our distributed database technology. You will identify and resolve performance bottlenecks, lead benchmarking efforts, and build telemetry to monitor production fleet performance. This is a fast-paced, collaborative environment where your work directly impacts the performance and scalability of a system handling trillions of transactions monthly.

$149k - $260k

NVIDIA is seeking a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. The team builds software that exercises and validates complex hardware, including compute engines, memory and cache subsystems, NICs, PCIe and NVLink interfaces, power delivery, and thermal behavior. This role is ideal for an embedded, firmware, device-driver, hardware-validation, or systems software engineer who enjoys working close to hardware. You will own well-scoped components of the diagnostic software from design through implementation, validation, productization, and field support, collaborating with various engineering teams to bring up new hardware and diagnose system failures.

$124k - $196k

Anthropic

Reinforcement learning is crucial for training AI models like Claude to reason, write code, and act autonomously. At scale, RL training involves complex distributed systems running across numerous accelerators and hosts. As an engineer in RL Engineering, you will be responsible for securing this expanding system. This is a hands-on role where you will work directly within the RL codebase and its underlying infrastructure, collaborating with the engineers and researchers who develop and utilize it. The system's rapid evolution, driven by research advancements, requires security solutions that maintain pace without compromising performance or development velocity. We are seeking candidates with expertise in either security engineering for large-scale ML systems or ML systems/research engineering with a strong interest in security.

$320k - $405k

NVIDIA is seeking a Senior Compiler Engineer to join our GPU Software organization. In this role, you will be instrumental in delivering features and improvements that maximize the potential of NVIDIA hardware across diverse computational workloads, including deep learning, scientific computing, autonomous vehicles, and gaming. Our compiler organization plays a critical role in every GPU NVIDIA produces. You will focus on the CUDA compiler front end, developing language features, diagnostics, and capabilities that empower both human developers and AI agents to create correct and high-performance GPU code. This position offers the opportunity to expand your expertise into other areas of the compiler stack, such as the LLVM-based optimizer, code generation, and MLIR.

$152k - $242k

ElevenLabs is seeking an engineer to join their research infrastructure team to ensure their NVIDIA GPU clusters are fast, reliable, and performant. This is a builder-operator role with significant autonomy, where your impact will be directly measured by training throughput and researcher velocity. You will be responsible for the entire stack beneath the training code, from OS images and NVIDIA drivers to high-speed networking and job scheduling. The role involves both hands-on hardware work and writing automation to eliminate manual tasks, with a focus on maintaining cluster security and performance.

Anthropic

Our Sandboxing team builds the isolation layer that enables Claude to run code, use computers, or act as an agent. These systems are critical for executing code written by Claude for users, training and evaluating models, and supporting customer-deployed agents. The sandboxes must start rapidly, withstand adversarial code, and scale to handle numerous concurrent sessions. This role involves working at the intersection of the Linux kernel, virtualization, and container technologies, collaborating with research, product, and security teams to ensure both safety and performance.

$320k - $485k