NVIDIA
Senior Manager, Engineering - Enterprise AI and Automation
$272K–$431K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 22, 2026
- Experience
- 10+ overall years in software engineering, including 4+ years managing high-performing teams.
- Education
- Bachelor’s degree in CS/Engineering or equivalent experience
About the job
Leads the strategy, architecture, and delivery of NVIDIA’s agentic developer platform, turning agent-development practices into scalable, safe tools and capabilities used across the company.
What you'll do
- Set platform strategy and integrate reusable agent components, tools, evaluations, and benchmarking.
- Architect AI data pipelines, RAG systems, vector databases, GPU-optimized workflows, and AI Data Platform integration.
- Establish agent governance and safety capabilities, and lead a team and cross-functional community.
What they ask for
- Bachelor’s degree in CS/Engineering or equivalent experience.
- 10+ overall years in software engineering, including 4+ years managing high-performing teams.
- Hands-on experience with agent architectures and open-source libraries, including integrating LLM/agent systems into business use cases.
- Track record building multi-team developer platforms and evaluation/benchmarking systems for agent workflows.
Nice to have
- Production experience implementing enterprise-grade governance for agent systems.
- Experience taking agent constructs from proof of concept to production or scaling an agent platform across teams.
Pay
272,000 USD - 431,250 USD (base salary)
Tools
LLM, RAG, vector databases, GPU, APIs/SDKs
AI focus
Builds and governs an agentic developer platform, including agent architectures, evaluation and benchmarking, GPU-optimized training and inference, safety guardrails, and prompt injection defenses.
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