← All roles

Senior Manager, Engineering - Enterprise AI and Automation

NVIDIA· Mgmt, Sys SW
Apply on company site
Santa Clara, CA$272k - $431.3kfull-timePosted 7mo ago

About the role

Senior Engineering Manager for Agentic Systems & Platform Architecture at NVIDIA, leading strategy and execution for the agentic developer platform, turning evolving agent patterns into scalable platform capabilities and governance to accelerate developer productivity and agent quality.

Responsibilities

  • Track and deeply understand evolving agent development patterns across NVIDIA and the broader ecosystem
  • Identify gaps and friction in current agent architectures, and translate insights into a platform strategy that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops
  • Assess and integrate open source and third-party tools where they add leverage; drive clear build-vs-use decisions
  • Architect and integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows
  • Lead integration of the AI Data Platform into NVIDIA’s on-prem AI Factory, optimizing GPU-to-storage throughput, data locality, and distributed inference performance
  • Establish and enforce robust Agent Governance policies across the platform, covering model/tool usage, data lineage, and ensuring adherence to compliance and Responsible AI frameworks
  • Design, implement, and maintain a centralized Agent Safety Toolkit, providing developers with pre-vetted components for input/output guardrails and prompt injection defenses
  • Lead and grow a high-performing team along with a multi-functional community to standardize procedures and scale adoption

Qualifications

  • Bachelor’s degree in CS/Engineering or equivalent experience
  • 10+ overall years in software engineering, including 4+ years managing high-performing teams
  • Strong hands-on experience with evolving agent architectures and open-source libraries; deep expertise in LLM/agent architectures—leading POCs and integrating them into real business use cases with measurable adoption/impact
  • Ability to turn fast-moving, ambiguous problem spaces into clear platform strategy, roadmap, and outcomes
  • Proven track record building multi-team developer platforms (APIs/SDKs, reusable components, reference implementations)
  • Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops)
  • Strong judgment integrating OSS/3P tools; clear build-vs-use decision-making and integration strategy
  • Product approach for safety and governance: controls, audit ability, monitoring, and risk management
  • Strong leadership and executive communication (engineering, product, security, research)

Skills

Required:Agent architecturesPlatform strategy and roadmappingDeveloper platforms (APIs/SDKs)

Benefits

  • benefits (see company benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA