We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale infrastructure platform services. In this organization, you will ensure that our internal and external facing EDA services atop of NVIDIA hardware are running as reliably as needed. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
What you’ll be doing:
Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals.
Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.
Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.
Practice sustainable blameless incident prevention and incident response while being a member of an oncall 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.
12+ years of relevant experience.
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.
Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production.
Experience in one or more of the following: Python, Go, Perl or Ruby.
In depth knowledge in one or more of Linux, Networking, Storage, and Containers.
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.
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 teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE).
Background with NVIDIA Collective Communication Library (NCCL).
No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.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
- BS degree in Computer Science or related technical field, or equivalent experience.
- 12+ years of relevant experience.
- Proven ability to initiate projects, drive collaboration, and work effectively on others' projects.
- Experience with infrastructure automation and distributed systems design for running large-scale private or public cloud systems in production.
- Experience in one or more of: Python, Go, Perl, or Ruby.
- In-depth knowledge in one or more of: Linux, Networking, Storage, Containers.
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.”
