We are building the next generation of AI-powered infrastructure to accelerate hardware and silicon development. AI is reshaping how engineering teams operate, and we are investing in infrastructure that brings chatbots, agents and assistants intelligence into the core of hardware workflows. As a Technical Program Manager, you will play a critical role in turning this vision into reality - driving cross-functional programs, scaling systems, and delivering AI capabilities that transform how silicon is designed, verified, and brought to production. Spanning ASIC, research, and infrastructure, this role drives execution in close collaboration with engineers across all teams. We emphasize having influence over technical direction, not just performing tasks or tracking metrics. You should consider yourself an expert in chip design workflows and AI - or demonstrate a strong willingness to learn. Our mission is to enable NVIDIA design and deliver world-class silicon faster than ever using AI while ensuring performance, efficiency, and resilience.
What You'll Be Doing:
Lead end-to-end planning and execution of AI for Chip Design initiatives ensuring timely, on-scope, and scalable delivery
Define program plans and timelines for AI capabilities, tracking progress, partnership status, risk opportunities and reporting status to leadership
Lead technical discussions between AI engineers, hardware teams, and platform groups to ensure alignment on architecture, integration, and delivery expectations
Operationalize the evaluation of both internal and external AI tools and drive their adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement
Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets
Serve as the central point of communication for all stakeholders, providing clear status updates, insight into dependencies, and escalating when needed
Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows
Document program processes, decisions, and lessons learned to create repeatable practices for AI infrastructure delivery and cross-team collaboration
What We Need To See:
Bachelor’s degree (or equivalent experience) in Computer Science or a related field with 12+ years of proven experience leading complex, cross-functional technical programs in AI
Hands-on experience building, deploying, or integrating AI agents, copilots, or LLM-powered systems into real-world workflows
Strong understanding of software engineering fundamentals, system architecture, and scalable infrastructure for applications that use artificial intelligence
Demonstrated ability to collaborate deeply with engineering teams and influence technical decisions, architecture, and trade-offs
Experience driving programs from concept through production, including planning, execution, risk management, and delivery at scale
Excellent communication and stakeholder leadership skills, with the ability to translate complex technical concepts into clear program direction and updates
Ways To Stand Out from the crowd:
Experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows
Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications
Experience with cross-geography coordination and leading teams or projects spanning multiple sites
#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 200,000 USD - 322,000 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
- Bachelor's degree in Computer Science or related field
- 12+ years leading complex technical programs in AI
- Hands-on experience with AI agents and LLM systems
- Strong understanding of software engineering and system architecture
- Ability to collaborate and influence technical decisions
- Experience driving programs from concept through production
- Excellent communication and stakeholder leadership skills
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.”
