Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Prioritization @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Program Manager for partner Co-Innovation Labs to lead integrated execution across strategic programs. The role sits at the intersection of applied research, account leadership, legal, and partner collaboration, converting strategy and success criteria into delivery.
This position requires a technical program operator who can run cross-company governance, drive decision velocity, and maintain alignment across roadmaps, compute planning, partner commitments, and delivery risk.
Responsibilities
- Own the integrated operating plan across lab workstreams spanning data, models, tools, compute, and ecosystem delivery.
- Run governance cadences, including 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 multifunctional 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.
Requirements
- Master’s degree or equivalent experience in life sciences technology, computational biology, engineering, computer science, or a related domain.
- 8+ years of experience in pharma R&D technology, AI platforms, computational biology programs, or adjacent life science technical environments.
- 5+ years leading large multifunctional programs with external strategic partners.
- Proven track record delivering complex AI programs in regulated or high-stakes enterprise settings.
- Strong proficiency in the AI platform lifecycle, including data, models, inference, infrastructure, and compute governance.
- Operational excellence in planning, sequencing, issue resolution, and customer alignment.
- Excellent executive interpersonal skills.
Preferred Qualifications
- 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.
Compensation and Additional Information
- Base salary range: $136,000–$218,500 for Level 4, or $176,000–$276,000 for Level 5.
- Eligible for equity and benefits.
- Applications will be accepted at least until August 2, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
More jobs at Nvidia
Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Nvidia · Santa Clara, United States
USD 224,000-356,500 per year
Senior Manager, Storage Engineering
Nvidia · Santa Clara, United States
USD 248,000-396,800 per year
Senior Software and System Architect
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Customer Technical Program Manager
Nvidia · Santa Clara, United States
USD 200,000-322,000 per year
Similar jobs
Incident Manager - Detection & Response
Anthropic · Washington, United States, New York City, United States, San Francisco, United States, Seattle, United States
USD 290,000-365,000 per year
Staff+ Security Engineer, Risk Engineering
Anthropic · New York City, United States, San Francisco, United States, Seattle, United States
USD 320,000-405,000 per year
Staff+ Software Engineer, RL Data Platform
Anthropic · New York City, United States, San Francisco, United States
USD 320,000-405,000 per year
Data Scientist, Real Estate & Workplace
OpenAI · Mountain View, United States, San Francisco, United States
USD 230,000-342,000 per year
Software Engineer - Platform Core (C++, C)
SpaceXAI · Palo Alto, United States, Seattle, United States
USD 180,000-440,000 per year
Senior Director, IT Systems
Collibra · Raleigh, United States, New York City, United States
USD 204,000-255,000 per year
Head of Competitive Intelligence
OpenAI · New York City, United States, San Francisco, United States
USD 347,000-385,000 per year
AI Transformation Owner, Product & Design
GitLab · Canada, United Kingdom, United States
USD 203,200-345,600 per year