We are seeking a Product Manager to lead strategic AI platform initiatives across infrastructure, silicon, and developer experience. You will define product vision and execution across AI observability, profiling, agentic automation, and AI-native developer workflows. Partnering closely with engineering, architecture, and platform teams, you will deliver AI-powered capabilities that improve how large-scale systems are built and operated across the organization.
This is a high-visibility, high-ambiguity role requiring strong product judgment, systems thinking, and the ability to drive clarity and alignment across complex cross-functional initiatives. Hardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect.
What You'll Be Doing:
Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps.
Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities.
Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities.
Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact.
Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience.
Champion developer experience and UX quality by understanding real engineering workflows, trust dynamics in AI-assisted tooling, and the factors that drive sustained platform adoption.
Communicate product strategy, trade-offs, and execution plans clearly across technical and executive audiences, influencing decisions at all levels of the organization.
Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams, driving alignment and execution in a highly matrixed environment.
What We Need to See:
BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale.
Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences.
Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance.
Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations.
Proven experience in fostering adoption of complex developer-facing products across large organizations.
Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments.
Outstanding systems thinking with capacity to reason across the stack - from hardware and infrastructure layers through APIs, platforms, and end-user developer experiences.
Excellent written and verbal communication; able to distill ambiguous technical problems into clear product narratives.
Ways to Stand Out from the crowd:
Background in semiconductor, hardware, or systems software companies.
Experience driving enterprise quality AI product adoption - defining UX, measuring engagement, and working with internal champions.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!
#LI-Hybrid
You will also be eligible for equity and benefits.
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, disability status or any other characteristic protected by law.Skills Required
- BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience
- 12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale
- Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences
- Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance
- Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations
- Proven experience in fostering adoption of complex developer-facing products across large organizations
- Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments
- Outstanding systems thinking with capacity to reason across the stack
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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