Senior Manager, Engineering - Enterprise AI and Automation

NVIDIA Corporation; Stati Uniti; In loco; USD 272.000 - 431.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Equal opportunity employer

Descrizione del lavoro

NVIDIA Corporation is seeking a Senior Engineering Manager for Agentic Systems & Platform Architecture to lead strategy and execution for the agentic developer platform. You will oversee how teams build, evaluate, and improve autonomous agents, turning insights into scalable platform capabilities and governance mechanisms to accelerate developer productivity and agent quality at scale.

You will track evolving patterns, drive proofs-of-concept, and integrate tools and data pipelines for

Competenze

• BS/engineering degree or equivalent experience in software engineering.
• 10+ years in software engineering with 4+ years leading teams.
• Strong hands-on experience with agent architectures and OSS libraries.

Mansioni

• Track evolving agent development patterns across NVIDIA and ecosystem.
• Translate insights into a platform strategy to boost developer velocity.
• Architect and integrate data pipelines, RAG systems, and GPU workflows.
• Lead integration of AI Data Platform into on-prem NVIDIA AI Factory.
• Establish robust Agent Governance and Safety Toolkit.
• Grow a high-performing, multi-functional team.

Conoscenze

LLM architectures

Agent systems

Open-source libraries

Executive communication

Leadership

Formazione

Bachelor's degree in CS/Engineering

Strumenti

APIs/SDKs

Vector databases

GPU-accelerated workflows

Descrizione del lavoro

As a Senior Engineering Manager for Agentic Systems & Platform Architecture, you will lead the strategy and execution for NVIDIA's agentic developer platform-deeply understanding how teams across the company build, evaluate, and improve autonomous agents, and turning those evolving patterns into scalable platform capabilities. You will identify gaps and friction, drive rapid proof-of-concepts on emerging agent constructs and ecosystem tools, and operationalize the best approaches into reusable building blocks, integrations, and governance mechanisms that accelerate developer productivity and agent quality. If you're passionate about staying at the forefront of agent architectures and turning experimentation into real business impact, this role offers a chance to build a platform. This platform helps teams safely ship more autonomous systems at NVIDIA scale.

What you will be doing:

• 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

What we need to see:

• 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)

Ways to stand out from the crowd:

• Experience implementing enterprise-grade governance for agent systems (controls, audit-ability, monitoring, policy enforcement) in production autonomous workflows
• Demonstrated wins taking new/open-source agent constructs from POC to production adoption, with clear business impact (cycle time, quality, cost, reliability)
• Built and scaled an agent platform or agent developer experience used by multiple teams (SDKs, templates, reference apps, reusable building blocks)
• Clear point of view and real examples on build-vs-use decisions-when to adopt OSS/3P vs build internal primitives-and how to operationalize the choice
• Deep experience with agent evaluation at scale (long-horizon tasks, tool correctness, reliability testing, automated regressions, offline/online feedback loops)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, dis

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!