NVIDIA
Software Engineer, Technical Lead – Performance Data Platform
$272K–$431K
US, CA, Santa Clara · Full-time · Posted Oct 29, 2026
- Experience
- 15+ years of software engineering experience.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
About the job
Lead the architecture and hands-on development of a data-center-scale platform that stores searchable performance history and helps engineers and automated agents diagnose AI workload performance issues.
What you'll do
- Define the platform’s architecture, data model, APIs, and integration boundaries; document and align foundational decisions with partner teams.
- Build early services, APIs, and deployment tooling, then evolve the prototype into a product used by other teams.
- Guide automated analysis agent behavior, review performance diagnoses, drive early use cases, and mentor engineers.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 15+ years of software engineering experience, including technical leadership of an end-to-end data-intensive platform used by other teams.
- Experience with systems where automated agents or models process large amounts of production data, including assessing result quality.
- Practical knowledge of GPU and machine learning workload performance; track record with evolving APIs and data models; proficiency with C++, Go, Python.
Nice to have
- Background in developer tools, profilers, or performance-analysis products; experience turning a prototype into a multi-team platform.
- Experience with identity, access control, and multi-tenant products; agent/model evaluation methods; working knowledge of SQL and TypeScript.
Pay
272,000 USD - 431,250 USD (base salary)
Tools
C++, Go, Python, SQL, TypeScript
AI focus
Build a platform where automated analysis agents find and explain performance issues in AI workloads; define their permitted queries, evidence relationships, and cost and response-time constraints. Experience with AI tools in recruiting is also stated.
Model-written summary · the original posting is authoritative