NVIDIA is seeking a Senior Program Manager for partner Co-Innovation Labs to lead integrated execution across our most meaningful strategic programs. This role sits at the intersection of applied research, account leadership, legal, and partner collaborators. It is responsible for converting strategy and success criteria into delivery.
This role requires a technical program operator who can run cross-company governance, drive decision velocity, and maintain alignment across roadmap, compute planning, partner commitments, and delivery risk.
What You'll Be Doing:
Own the integrated operating plan across lab workstreams spanning data, models, tools, compute, and ecosystem delivery.
Run governance cadence: operating reviews, success-criteria checkpoints, and program committee execution.
Maintain and drive decision logs, risk registers, dependency maps, and escalation pathways.
Coordinate DGX Cloud and compute planning with internal allocation partners and technical owners.
Drive multi-functional execution across Product Development, Engineering, Applied Research, Legal, and Account teams.
Build executive-ready status and decision materials with clear asks, risks, and mitigation paths.
Keep program execution aligned with external commitments and the realities of the internal roadmap.
What We Need To See:
Master’s or equivalent experience in life sciences technology, computational biology, engineering, computer science, or related domain.
8+ years in pharma R&D technology, AI platforms, computational biology programs, or adjacent life science technical environments.
5+ years leading large multi-functional programs with external strategic partners.
Proven track record delivering complex AI programs in regulated or high-stakes enterprise settings.
Strong proficiency in AI platform lifecycle: data, models, inference, infrastructure, and compute governance.
Operational excellence in planning, sequencing, issue resolution, and customer alignment.
Excellent executive interpersonal skills.
Ways To Stand Out From The Crowd:
Prior ownership of AI transformation programs in pharma with measurable outcomes.
Track record in building and sustaining joint operating models with external partners.
Experience managing compute prioritisation and usage governance tied to achievements.
Familiarity with the NVIDIA AI stack and the BioNeMo ecosystem.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.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
- Master's degree or equivalent experience in life sciences technology, computational biology, engineering, computer science, or related domain.
- 8+ years in pharma R&D technology, AI platforms, computational biology programs, or adjacent life science technical environments.
- 5+ years leading large multi-functional programs with external strategic partners.
- Proven track record delivering complex AI programs in regulated or high-stakes enterprise settings.
- Strong proficiency in AI platform lifecycle: data, models, inference, infrastructure, and compute governance.
- Operational excellence in planning, sequencing, issue resolution, and customer alignment.
- Excellent executive interpersonal skills.
- Prior ownership of AI transformation programs in pharma with measurable outcomes.
- Track record building and sustaining joint operating models with external partners.
- Experience managing compute prioritization and usage governance tied to achievements.
- Familiarity with the NVIDIA AI stack and the BioNeMo ecosystem.
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.
-
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.
-
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.
-
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.”
.png)
