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.
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.Skills Required
- Bachelor’s degree in Computer Science or a related coding-focused technical field, or equivalent experience
- Experience coding in Python and/or Go
- Experience with infrastructure automation and distributed systems design
- Experience developing tools for large-scale private or public cloud systems in production
- In-depth knowledge of Linux systems and containers
- 8+ years of relevant experience
- Systematic problem-solving, strong communication, ownership, and drive
- Experience using coding assistants, MCP servers, or AI agents to accelerate business impact
- In-depth knowledge of networking and storage technologies
- Experience orchestrating automated and manual processes using continuous integration or workflow engines
- Experience duplicating or emulating complex production infrastructure in staging or test environments
- Experience with bare metal as a service associated systems
- Experience with multi-cloud infrastructure services and Kubernetes, OpenStack, Docker, or Slurm
- Experience working with NVIDIA GPU-based systems
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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