NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems.
NVIDIA’s Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains.
What you’ll be doing
- Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality.
- Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment.
- Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones.
- Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
- Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
- Improve data quality, integrity, governance, metric definitions, and usability across engineering domains.
- Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively
What we need to see
- B.Sc or M.Sc in Computer Science, or related field, or equivalent experience.
- 12+ years of proven experience building and deploying production software, data products, internal tools, or engineering productivity platforms and 2+ years of experience building AI-enabled or agentic systems, including tools & skills, RAG pipelines, persistent memory, and evaluation infrastructure.
- Hands-on development experience with Python, full-stack software development, SQL and NoSQL databases, cloud environments, and internal tool development.
- Extensive experience utilizing coding agents for development.
- A proactive, high-agency builder who deciphers complex domains to deliver pragmatic, production-grade AI and data solutions that drive measurable engineering productivity.An adaptable expert who masters the intersection of software engineering and agentic AI, taking full ownership of the lifecycle from messy data debugging to cross-functional leadership.
- Excellent collaboration skills, with the ability to influence cross-functional partners, build positive relationships, and communicate complex concepts clearly to both technical and business audiences.
- Demonstrated commitment to continuous learning and development.
Ways to stand out from the crowd
- Background in product engineering, hardware engineering, networking, semiconductors, or complex engineering organizations
- Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth
NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse 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
- 12+ years of experience building and deploying production software and data products
- 2+ years of experience building AI-enabled or agentic systems
- Hands-on development experience with Python, SQL and NoSQL databases, cloud environments
- Excellent collaboration skills and ability to communicate complex concepts to technical and business audiences
- B.Sc or M.Sc in Computer Science or related field
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.”
