- Deep familiarity with the AI agent landscape: open-source frameworks, coding agents and harnesses, and commercial agent platforms.
- Proven understanding of agent execution, including LLM calls, tool calls, and multi-agent workflows.
- Understanding of what developers need to operate agents in production: tracing, evaluation, guardrails, and cost and performance tuning.
- Product management background on developer-facing libraries, SDKs, or infrastructure that other companies build on.
- Proven track record to lead product direction in ambiguous, fast paced areas and to influence engineering, ecosystem, and leadership partners without direct authority.
- BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of combined work in software development, ML ops, and/or technical product management, including 5+ years shipping enterprise software or infrastructure.
Ways to stand out from the crowd
- History of taking an open-source project from early releases to broad ecosystem adoption.
- Track record of ecosystem-led go-to-market, such as integrations, co-engineering, or embedding into third-party products.
- Hands-on familiarity with OpenTelemetry, OpenInference, or agent tracing and evaluation tools.
- Ability to make exceptional runtime concepts simple for both developers and executives.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.