Job description

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 28, 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.

Requirements

Must-haves

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
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
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythongoaikubernetesdocker

Platform: eightfold
Effort: medium