NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As a Senior Technical Program Manager within NVIDIA Silicon Co-Design Group (SCG), you will play a pivotal role in bridging the technical and management domains, driving the development and execution of SCG AI-driven Efficiency programs. You will collaborate with development managers, engineers, and multi-functional teams across systems, software, operations, and marketing to ensure the flawless delivery of our silicon projects.
What you'll be doing:
Program Leadership and Execution: End-to-End AI-driven Automation Solution Initiatives for continuous productivity efficiency improvement. Own the planning, development, and management of project schedules and deliverables. Ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule.
Program Management on the SCG AI-driven Automation feature development lifecycle (data collection and labeling, experimentation, model training, evaluation, deployment, and monitoring) with a focus on reliability, safety, and performance.
Design and Scope Management: Actively participate in crucial design reviews. Efficiently handle scope changes to minimize impacts on project timelines and outcomes. Champion engineering best practices in areas such as CI/CD, release management, experimentation, observability, and post-release validation for AI-powered features.
Multi-functional Collaboration: Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on project achievements and go-to-production strategies.
Risk Management: Proactively identify risks and dependencies, develop mitigation strategies, and advance issues to leadership as vital.
Communication: Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making.
Continuous Improvement: Leverage insights and standard processes from completed programs to drive continuous improvement in processes and outcomes for future projects, including tooling for AI program delivery, identifying opportunities to increase efficiency, predictability, and quality.
What we need to see:
A Bachelor of Science degree in Applied Science or Engineering is required (or equivalent experience); a Master's degree is helpful.
10+ years of relevant experience, including at least 3 years in a technical program management role, ideally within multi-functional teams.
Experience with Deep Learning Frameworks (such as PyTorch or TensorFlow) and modern AI workflows (e.g., LLMs, retrieval-augmented generation, recommendation or ranking systems)
Solid understanding of Software Engineering fundamentals, distributed systems, and/or large-scale services.
Ability to navigate system integration complexities at the convergence of Silicon, System, and Software.
Proficient in leading rapid development cycles and embracing change, maintaining flexibility and composure in uncertain situations.
Highly self-motivated and proactive, with the ability to engage in critical thinking and problem-solving.
Outstanding communication and organizational skills, capable of effectively articulating sophisticated technical issues and solutions.
Our team is at the forefront of innovation in silicon co-design, contributing to the development of groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Skills Required
- Bachelor of Science degree in Applied Science or Engineering
- 10+ years of relevant experience in program management
- 3+ years in a technical program management role
- Experience with Deep Learning Frameworks
- Solid understanding of Software Engineering fundamentals
- Proficient in leading rapid development cycles
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.”
