NVIDIA Logo

NVIDIA

Senior Systems Software Engineer- EDA Infrastructure

Posted 14 Days Ago
In-Office or Remote
2 Locations
184K-357K Annually
Senior level
In-Office or Remote
2 Locations
184K-357K Annually
Senior level
Design, deploy, operate, and automate reliable large-scale EDA infrastructure services on NVIDIA hardware. Build tools that reduce manual work, support distributed private and public cloud systems, define service-level objectives, improve observability, and participate in incident response and on-call rotations. The role also provides systems-design guidance to peer teams and may involve Kubernetes, OpenStack, Docker, Slurm, multi-cloud infrastructure, networking, storage, and GPU-based systems.
The summary above was generated by AI

NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. 

What you’ll be doing:

  • Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals

  • Build and maintain automation to eliminate manual toil and scale output without scaling effort

  • Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy

  • Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation

  • Consult with and provide consultation for peer teams on systems design best practices

What we need to see:

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience

  • Experience coding in Python and/or Go. Note: you must be able to produce code without AI assistance during the interview process.

  • Experience with infrastructure automation and distributed systems design 

  • Experience developing tools for running large scale private or public cloud systems in production

  • In depth knowledge of Linux systems and Containers

  • A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.

  • 8+ years of relevant experience

Ways to stand out from the crowd:

  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents

  • In-depth knowledge of networking and storage technologies. Orchestrating existing automated and manual processes using Continuous Integration and/or workflow engines

  • Experience with duplicating or emulating existing complex production infrastructure into staging/test environments. Experience working with or developing bare metal as a service (BMaaS) associated systems

  • Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm. Experience working with Nvidia GPU-based systems

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. 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. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.

NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 16, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

16 Days Ago
In-Office or Remote
2 Locations
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and operate large-scale infrastructure supporting GPU- and CPU-based EDA workloads. Build automation for provisioning, configuration, deployment, lifecycle management, monitoring, health remediation, cluster enrollment, and recovery across Linux compute fleets. Integrate services with schedulers, infrastructure systems, and observability platforms. Participate in incident response, root-cause analysis, capacity planning, and reliability improvements while collaborating with EDA, networking, storage, and hardware teams.
Top Skills: Bright Cluster ManagerCluster SchedulingCpu InfrastructureDistributed SystemsEdaFirmwareGoGpu InfrastructureKubernetesLinuxLsfNetworkingObservabilityPythonSlurmStorage
49 Seconds Ago
Remote
United States
Entry level
Entry level
Healthtech • Social Impact • Telehealth
Guide older adults and their caregivers through the mental healthcare intake process. Responsibilities include providing empathetic support, coordinating care, matching patients with therapists, managing multiple patients through different stages, and communicating clearly during sensitive conversations. The role requires organization, attention to detail, comfort with healthcare and CRM software, and a commitment to improving mental health access for older adults.
Top Skills: Crm SystemsEhr PlatformsGoogle WorkspaceHealthieHubspot
4 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
145K-165K Annually
Senior level
145K-165K Annually
Senior level
Healthtech • Insurance • Sales • Software
Design data-rich workflows, interfaces, visualizations, and controls for brokers, agency leaders, and internal operations teams. Conduct user research, translate complex data into intuitive experiences, partner with Product, Engineering, and Data from discovery through launch, contribute to Spark’s design system, and incorporate AI into design workflows.
Top Skills: Ai-Assisted Design ToolsDesign SystemsFigma

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account