Hardware Infrastructure is seeking a Senior Product Manager to lead the strategy and evolution of our internal planning and delivery platforms used across silicon development. While these systems are foundational to chip program management, this role will expand and adapt the platform to support diverse operating models across internal teams — ensuring flexibility, clarity, and alignment across diverse program workflows. Hardware Infrastructure serves as the platform foundation for silicon development. We build and operate the systems, environments, and tools that enable our hardware engineers to design, simulate, validate, and tape out chips with speed, reliability, and scale. Our mission is to improve engineering velocity while ensuring the performance, efficiency, and resilience required to deliver world-class silicon.
What You'll Be Doing:
Define the product vision and strategy for internal roadmap and execution platforms, aligning the platform with Hardware Infrastructure’s mission and diverse engineering workflows.
Evolve the platform to support multiple execution models and frameworks (agile, waterfall, hybrid), creating a consistent framework for planning, tracking, and risk management while accommodating team-specific workflows.
Drive workflow standardization and guidelines, balancing flexibility with clarity to reduce friction, enable alignment, and improve predictability of program execution.
Conduct user discovery, mapping, and analysis across teams to identify friction points, workflow gaps, and chances to improve usability and efficiency.
Define product requirements and success metrics (ex: adoption within target workflows, reduction in manual coordination, alignment of schedules, risk visibility) to guide prioritization and measure impact.
Collaborate with TPMs, Engineering, and UX teams to ensure the platform evolves to meet strategic goals while remaining technically feasible and operationally scalable.
Advocate for a user-centered approach within the platform, helping teams adopt tools in a way that improves execution, visibility, and collaboration.
Enable cross-team alignment and communication, ensuring all participants understand and benefit from improvements to the platform.
What We Need To See:
B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field
12+ years of proven experience across software and hardware engineering, coupled with experience in technical product management, developer tools, or workflow/platform product roles
Experience defining and evolving internal platforms or complex workflow tools that serve multiple teams with diverse processes and operating models
Deep understanding of Engineering workflows - including waterfall, agile, hybrid and cross-functional program management - and the ability to translate those into effective, scalable tooling
Workflow and process design - proven ability to map, analyze and optimize processes across waterfall, agile, hybrid and other mixed models
Strong internal customer empathy - can understand diverse workflows and operational needs across teams with very different execution styles
Analytical approach, including defining success measures, tracking adoption, and finding opportunities to improve workflow efficiency and clarity.
Proven track record of influencing internal customers and driving adoption of new processes or tools, particularly in organizations with established practices.
Ways To Stand Out from the crowd:
Advanced degree (MBA, MS in Engineering/CS, or equivalent), operating at the intersection of technology and organizational strategy
Certifications such as PMP, Six Sigma/Lean, Organizational Design, Scrum Product Owner, etc.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.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 a diverse 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
- B.S. in Electrical Engineering, Computer Science or related field
- 12+ years of experience in technical product management, developer tools, or workflow product roles
- Experience with internal platforms or complex workflow tools
- Understanding of Engineering workflows: waterfall, agile, hybrid management
- Ability to map, analyze and optimize processes
- Strong internal customer empathy
- Analytical approach to define success measures
- Track record of influencing internal customers
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.”









