Linux Jobs
93 open roles mentioning Linux
Senior Forward Deployed Engineer, Open Models
nvidia
We are seeking a Senior Forward Deployed Engineer to lead technical engagements with partners and customers, focusing on NVIDIA's open model portfolio. The primary mission is to transform open models into production-ready AI solutions tailored to specific domains, covering the entire lifecycle from post-training to harness optimization. This role involves collaborating closely with NVIDIA's partner ecosystem, co-leading customer engagements, and developing resources that enable partners to scale their AI initiatives. You will work hands-on to build custom AI solutions, from initial customer conversations through to production deployment, ensuring models are optimized for performance and cost-effectiveness.
$184k - $357k
Senior Staff Inference Performance Engineer
d-Matrix
d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.
$175k - $265k
Senior Systems Software Engineer - NV Cloud Functions
nvidia
NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.
$152k - $288k
Infrastructure Engineer, Agentic DevSecOps
Distyl AI
Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.
$200k - $250k
NVIDIA 2027 Internships: Deep Learning
nvidia
NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning internship program. This 12-week full-time internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning teams. Interns will work on projects with a measurable impact on NVIDIA's business, contributing to advancements in AI and digital twins that are transforming major industries. We are looking for students pursuing a B.S., M.S., or Ph.D. degree in a relevant field who are passionate about tackling complex challenges.
$0k - $0k
NVIDIA Spring 2027 Internships: Developer and Performance Technology
nvidia
NVIDIA is seeking ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.
$0k - $0k
Senior Synthetic Data Engineer - Autonomous Driving
nvidia
NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.
$184k - $357k
Software Engineer, Inference
lumalabs
Luma is seeking a Software Engineer to own the serving of their AI models. This role involves integrating new model architectures into the inference engine, scaling deployments across thousands of machines, and optimizing the utilization of expensive GPU fleets while meeting internal service level objectives (SLOs). The work focuses on large-scale inference systems, including scheduling, fleet management, deployment pipelines, and ensuring reliability across diverse clusters and hardware providers. This position is ideal for a strong systems engineer comfortable with model serving and Kubernetes at scale, rather than those seeking pure modeling work.
Software Engineer, Inference
lumalabs
Luma is seeking a Software Engineer to own the serving of their AI models. This role involves integrating new model architectures into the inference engine, scaling deployments across thousands of machines, and optimizing the utilization of expensive GPU fleets while meeting internal service level objectives (SLOs). The work focuses on large-scale inference systems, including scheduling, fleet management, deployment pipelines, and ensuring reliability across diverse clusters and hardware providers. This position is ideal for a strong systems engineer comfortable with model serving and Kubernetes at scale, rather than those seeking pure modeling work.
$195k - $345k
Research Scientist / Engineer – Training Infrastructure
lumalabs
Luma is seeking a Research Scientist / Engineer to build and optimize the distributed systems that train large-scale multimodal models across thousands of GPUs. This role focuses on advanced parallelism, training stability, and utilization across massive clusters, requiring deep expertise in distributed PyTorch and CUDA. The goal is to provide researchers with reliable, efficient, and scalable infrastructure for innovation.
$195k - $395k
Research Scientist / Engineer – Training Infrastructure
lumalabs
Luma is seeking a Research Scientist / Engineer to build and optimize the distributed systems that train large-scale multimodal models across thousands of GPUs. This role focuses on advanced parallelism, training stability, and utilization across massive clusters, requiring deep expertise in distributed PyTorch and CUDA. The goal is to provide researchers with reliable, efficient, and scalable infrastructure for innovation.
Senior HPC Support Engineer - Ethernet and AI Infrastructure
nvidia
NVIDIA is seeking a Senior HPC Support Engineer specializing in Ethernet and AI Infrastructure to engage with prestigious customers. This role involves providing comprehensive solutions for sophisticated installations, maintenance, and operations of groundbreaking networking products within data center and networking technologies. As part of the NVEX Global Technical Support team, you will be a conscientious communicator focused on resolving issues and ensuring high customer satisfaction. A significant aspect of the role includes collaborating with Engineering, Marketing, and Support teams on technical matters.
$120k - $207k
Senior Systems Engineer - Enterprise AI Platforms
Lambda
Lambda, The Superintelligence Cloud, is seeking a Senior Systems Engineer to join their Enterprise AI Platforms team. This role focuses on building and scaling the internal systems that power Lambda's business, partnering across departments to implement tools, automate workflows, and ensure data integrity. You will be instrumental in designing, developing, and deploying software and services to enhance the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms. The position requires a proactive approach to problem-solving, automation, and influencing the creation of new architectures for large-scale distributed systems, with a strong emphasis on AI infrastructure and tooling.
$206k - $275k
Senior Staff Software Engineer, Cloud Availability Platform
crusoe
Crusoe is building the operating system for AI datacenters, managing one of the world's largest GPU fleets. This role focuses on building a unified platform that senses, reasons about, and acts on the entire fleet, moving beyond traditional operational methods to achieve fleet autonomy. The platform is designed as a product with an API-first approach, offering SDKs, paved paths, and a self-serve portal for internal teams. It comprises agents for telemetry and command execution, a distributed infra graph, a reconciliation core for state management, and domain services for various operational tasks. The goal is to create an autonomous system that continuously improves through a sense-correlate-reason-act-learn loop, reducing manual interventions and enabling other teams to build services and workflows efficiently.
$250k - $300k
Principal GPU Memory Architect
nvidia
NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of hardware. The ideal candidate will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt and performance per millimeter. A broad perspective across computer architecture and depth in power, performance, and area (PPA) analysis is highly desirable. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.
$272k - $431k
Senior System Simulation Architect
nvidia
NVIDIA is seeking a Senior System Simulation Architect to drive the development of CPU architectures for AI, deep learning, high-performance computing, gaming, virtual reality, and autonomous vehicles. This role involves developing and integrating full-system functional models, bringing up system and application software in simulation and emulation, and supporting CPU architects and performance engineers. The position is crucial for pushing performance boundaries for NVIDIA's CPU products and integrating them seamlessly with NVIDIA's broader technology stack to enable faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.
$184k - $357k
Staff Kernel Security Engineer
crusoe
Crusoe is seeking a Staff Software Engineer specializing in Linux Kernel Security to strengthen the security of their AI cloud infrastructure. This role involves implementing kernel security enhancements, triaging CVEs, securing the boot path, and establishing CI guardrails. You will research vulnerabilities, advocate for secure coding practices, and conduct security-focused code reviews. The position also includes utilizing and developing security auditing tools, supporting incident response, and balancing security with system performance. A key aspect is contributing to the security of Cloud Hypervisor and advancing confidential computing primitives. This role requires close collaboration with other engineering teams and providing technical leadership and mentorship.
$215k - $260k
Cloud Infrastructure Security Engineer (Systems/Kernel)
Runpod
Runpod is seeking a systems-focused Cloud Infrastructure Security Engineer to safeguard its bare-metal and virtualized GPU cloud infrastructure. This role is crucial for ensuring the security, multi-tenant isolation, and integrity of the underlying GPU cloud infrastructure. The ideal candidate will have deep knowledge of Linux systems, kernel internals, hypervisors, and containerization, focusing on preventing tenant breakouts, securing GPU hardware, and building resilient infrastructure for AI and machine learning workloads. You will operate with an attacker's mindset, identifying and patching vulnerabilities at the lowest levels of the stack.
$152k - $175k
Member of Technical Staff - Inference Runtime
Modal
Modal is building a new infrastructure layer for AI, focusing on the demands of AI workloads that previous infrastructure couldn't support. Our platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are experiencing rapid growth, with a significant increase in annualized run rate and a recent Series D funding round. Our team comprises experienced engineers and researchers from diverse backgrounds, including creators of popular open-source projects and academic researchers.
$220k - $300k
AI Fleet Platform Software Engineer
Cerebras
Cerebras Systems is seeking a senior software engineer to build and scale the platforms and tools used to monitor and manage its growing fleet of AI clusters across multiple data centers. This role involves owning substantial engineering work across backend services, operational tools, and user-facing applications. You will collaborate with various teams, including Cluster Operations, infrastructure, inference, security, and data center teams, to translate operational challenges into reliable, scalable software solutions. The goal is to ensure fleet health, efficient issue response, and continuous compute capacity availability.
