NVIDIA Logo

NVIDIA

Senior Systems Software Engineer, Containers, Kubernetes, and Confidential Computing

Posted Yesterday
Be an Early Applicant
In-Office or Remote
5 Locations
184K-288K Annually
Senior level
In-Office or Remote
5 Locations
184K-288K Annually
Senior level
Develop platform software using container runtimes and Kubernetes to enable GPU-accelerated applications. Design systems software for container orchestration, cloud-native environments, and distributed systems. Integrate software across NVIDIA engineering teams while addressing performance, security, reliability, and evolving priorities. The role involves Rust and Go development, Linux system internals, container sandboxing, confidential computing, virtualization, and GPU resource management.
The summary above was generated by AI

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to Rust and Go, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while being strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous, and love having fun, we want to hear from you!

What you will be doing:
  • You'll be part of a small and dynamic team that explores innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
  • Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
  • This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
  • Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.
  • Proficiently multitasking on different tracks to efficiently address evolving priorities.
What we need to see:
  • BS/MS in Computer Science, or related field (or equivalent experience)
  • 8+ years of relevant work experience.
  • Expert-level knowledge in a systems programming language (Go, Rust) and solid understanding of Data Structures and Algorithms.
  • Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
  • Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security, and reliability in complex distributed systems.
Ways to stand out from the crowd:
  • Strong experience with Rust and Go programming languages.
  • Real-world strong hands-on experience with Containers and Kubernetes.
  • Proficient with Kata Containers and Container sandboxing technologies
  • Well-versed in Attestation concepts, Key Broker Service, etc.
  • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
152K-190K Annually
Junior
152K-190K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
Design, train, fine-tune, optimize, and deploy large-scale machine learning systems for cloud security use cases. Build end-to-end ML pipelines, develop transformer and embedding models, productionize open-weight language models, and optimize inference for latency, cost, and quality. Architect resilient ML services across AWS and GCP using cloud-native microservices while collaborating with engineering teams on AI strategy and solving complex problems involving massive datasets.
Top Skills: AWSDeep LearningGCPHugging FaceJaxLarge Language ModelsLoraMicroservicesOnnx RuntimePeftPythonPyTorchQloraTensorFlowTensorrt-LlmTransformer ModelsVllm
Yesterday
Remote
USA
152K-175K Annually
Senior level
152K-175K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.
Top Skills: ApparmorBare-Metal Cloud InfrastructureCC.V.E.SCgroupsContainerdDockerEbpfGoGpu ArchitectureKubernetesKvmLinuxLinux KernelNamespacesPciePythonQemuRustSelinuxVirtualized Networking
Yesterday
Remote or Hybrid
153K-261K Annually
Entry level
153K-261K Annually
Entry level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Leads business development for BAE Systems’ Advanced Mission Solutions portfolio, shaping domestic and international growth strategies, identifying and qualifying opportunities, and developing customer engagement and campaign plans. Builds relationships with defense customers, industry partners, and internal teams; translates mission needs into product and technical roadmaps; supports capture, pricing, market analysis, compliance, and business-winning activities. Requires F-16 customer relationships, fighter aircraft knowledge, government contracting expertise, and approximately 50% international travel.
Top Skills: C4IsrDirect Commercial Sales (Dcs)F-16F-35Foreign Military Sales (Fms)

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account