NVIDIA
computer graphics, artificial intelligence, and accelerated computing
SeniorDataandAISolutionsEngineer
Neural analysis suggests this role is
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“Senior Data and AI Solutions Engineer at NVIDIA. Skills: Data and AI Solutions Engineering, AI-enabled or agentic systems, Python, full-stack software development, SQL and NoSQL databases, cloud environments, internal tool development, coding agents. partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains. understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making”
What You'll Achieve.
measurable engineering productivity gains; improve decision-making, execution speed, and operational quality; continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops; drive measurable engineering productivity
Industry & Context.
deciphers complex domains to deliver pragmatic, production-grade AI and data solutions
What They're Looking For.
Must Have
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, 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, 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
Nice to Have
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
What You'll Do.
partner with engineering teams and transform data
automation and agentic AI into measurable engineering productivity gains
understand complex engineering domains
and build practical solutions that improve decision-making
and operational quality
Develop and deliver production-grade tools
and agentic AI solutions from concept through deployment
high-quality proof-of-concepts on emerging AI and agentic technologies
and productize successful ones
Implement data flywheels that continuously improve quality through telemetry
and structured feedback loops
Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure
and usability across engineering domains
Train and enable engineers
and stakeholders to use data
and AI tools effectively
How You'll Work.
Team & Collaboration
Work closely with engineers, managers, and cross-functional teams; Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure; influence cross-functional partners; build positive relationships
Communication Scope
communicate complex concepts clearly to both technical and business audiences
Full Job Description
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 **S****enior****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 ex
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