Senior Engineering Manager, Enterprise AI Platform

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 272,000 - 431,000

Full time

2 days ago
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Benefits offered by this job

Equity
Competitive benefits

Job summary

NVIDIA is seeking a Senior Engineering Manager for Agentic Systems & Platform Architecture to lead strategy and execution of NVIDIA's agentic developer platform. You will drive patterns across the company, identify gaps, and turn insights into scalable platform capabilities with reusable blocks and governance mechanisms that accelerate developer productivity and agent quality.

You will build and lead a high-performing team, work with cross-functional partners, and advance POCs into real business

Qualifications

  • Bachelor's degree in CS/Engineering or equivalent experience.
  • 10+ years in software engineering, including 4+ years managing high-performing teams.
  • Strong hands-on experience with evolving agent architectures and OSS libraries; deep expertise in LLM/agent architectures leading POCs 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 decisions and integration strategy.
  • Product approach for safety and governance: controls, auditability, monitoring, risk management.

Responsibilities

  • Track and deeply understand evolving agent development patterns across NVIDIA and the broader ecosystem.
  • Identify gaps and friction in current agent architectures, translating insights into a platform strategy that boosts developer velocity and agent quality, supported by evaluations and feedback loops.
  • Assess and integrate open-source and third-party tools where they add leverage; drive 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 compliance with Responsible AI frameworks.
  • Design, implement, and maintain a centralized Agent Safety Toolkit with pre-vetted components for guardrails and prompt defenses.
  • Lead and grow a high-performing team along with a multi-functional community to standardize procedures and scale adoption.

Skills

LLM/Agent architectures
Platform strategy
Leadership
Executive communication
Open-source libraries

Education

Bachelor's degree in CS/Engineering

Tools

APIs/SDKs
Data pipelines
RAG systems

Job description

NVIDIA is seeking a Senior Engineering Manager for Agentic Systems & Platform Architecture to lead strategy and execution of NVIDIA's agentic developer platform. You will drive patterns across the company, identify gaps, and turn insights into scalable platform capabilities with reusable blocks and governance mechanisms that accelerate developer productivity and agent quality.

You will build and lead a high-performing team, work with cross-functional partners, and advance POCs into real business

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