Senior Staff Software Engineer - Enterprise AI Platform

Responsibilities

• The day-to-day is designing and building the platform that agent builders across NVIDIA depend on, from engineering teams to functions like finance, legal, and HR
• Design agent blueprints with clean interfaces for authorization, sandbox, memory, observability, and skills, so a new agent inherits its enterprise integrations from the platform.
• Build the runtime safety harness: a policy engine that checks every action before it runs, rate and budget caps, circuit breakers, approval gates, action allow-lists, and a kill switch that works even when an agent goes rogue.
• Enable composing and orchestrating agents: skills as first-class units with declarative manifests, multi-agent orchestration for delegation and handoff, and support for headless, long-running, autonomous agents.
• Broker credentials so multi-agent systems can authenticate and authorize without ever touching secrets, with least-privilege scoping on every token.
• Provide checkpoint and recovery so an agent resumes cleanly after a crash or restart.
• Instrument observability and evaluation that span harnesses: decision-level traces with correlation IDs, what the agent saw and chose and why, cost anomaly alerts that catch looping, and quality scoring across skills, whole agents and products. Then close the loop: turn those signals into insights that make the agents…
• Since teams across NVIDIA depend on this platform in production, the whole team shares in keeping it healthy and reliable, including taking part in an on-call rotation.
• What we need to see
• BS or MS in Computer Science, Engineering, or related field (or equivalent experience)

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