NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be part of a diverse, supportive environment where we inspire one another to do our best work. Come join the team and make a lasting impact on the world!
Do you enjoy making messy workflows reliable? Are you energized by using automation to save engineering teams time? We are looking for a DevOps-minded Software Engineer to build productivity tools that help program managers and engineering teams move faster with clearer data, fewer manual steps, and better day-to-day visibility. We apply software engineering to engineering operations: automating status workflows, connecting systems of record, improving dashboards, and reducing repetitive work across complex programs. This role is practical and hands-on, with room to write software, debug real workflows, improve reporting, and make internal systems useful enough for daily use. We value practical systems thinking, automation, and operational follow-through more than abstract whiteboard exercises.
What you'll be doing:
We will rely on you to build tools that make program execution clearer, more reliable, and less manual. You'll work with program managers, engineering managers, software teams, operations teams, and leaders to turn recurring operational pain into durable software.
Build internal tools, dashboards, scripts, automations, and lightweight applications for program and engineering teams.
Automate status reporting, risk tracking, dependency tracking, action item follow-up, release readiness, roadmap visibility, and executive reporting.
Integrate data from Jira, GitHub, spreadsheets, Slack, Teams, Outlook, CI dashboards, internal databases, and other engineering systems.
Debug stale dashboards, inconsistent data, fragile automations, access issues, and unclear ownership flows.
Keep tools healthy after launch through documentation, data hygiene, user support, adoption work, and lightweight runbooks.
What we need to see:
We are looking for someone who can write useful software and also accepts the operational work required to make that software trusted. The best fit is a pragmatic engineer who is comfortable with imperfect data, changing requirements, and workflows that do not arrive as clean product specs.
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, a related field, or equivalent experience.
8+ years of experience in software engineering, DevOps, engineering productivity, internal tools, workflow automation, or engineering operations.
Experience building internal tools, dashboards, data integrations, backend services, scripts, or lightweight web applications.
Practical skills with scripting, APIs, databases, reporting tools, and automation using Python, JavaScript/TypeScript, SQL, PowerShell, Apps Script, or similar technologies.
Working understanding of DevOps or engineering operations concepts such as automation, observability, workflow reliability, CI systems, release readiness, and operational ownership.
Ways to stand out from the crowd:
We'd love to hear from you if you have built tools for engineering operations, developer productivity, program management, release management, technical operations, or DevOps teams.
You will stand out if you have turned spreadsheets, manual trackers, status rituals, or ad hoc reporting into durable tools and automated workflows.
Experience with data pipelines, permissions models, dashboard governance, business intelligence tools, workflow systems, onboarding, adoption, and partner communication is also valuable.
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 or MS in Computer Science, Computer Engineering, Electrical Engineering, related field, or equivalent experience
- 8+ years of experience in software engineering, DevOps, engineering productivity, internal tools, workflow automation, or engineering operations
- Experience building internal tools, dashboards, data integrations, backend services, scripts, or lightweight web applications
- Practical skills with scripting, APIs, databases, reporting tools, and automation using Python, JavaScript/TypeScript, SQL, PowerShell, Apps Script, or similar technologies
- Working understanding of DevOps or engineering operations concepts such as automation, observability, workflow reliability, CI systems, release readiness, and operational ownership
- Experience with data pipelines, permissions models, dashboard governance, business intelligence tools, workflow systems, onboarding, adoption, and partner communication
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.”
