2 months ago
Senior Alliance Manager Physical AI for Life Sciences
NVIDIA
On Site
Full Time
$356,500
New York, NY
Job Overview
Job TitleSenior Alliance Manager Physical AI for Life Sciences
Job TypeFull Time
Offered Salary$356,500
LocationNew York, NY
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Job Description
About the Senior Alliance Manager Physical AI for Life Sciences Role at NVIDIA
NVIDIA is seeking a Senior Alliance Manager Physical AI for Life Sciences to advance meaningful alliances, community building, and developer/community engagement across automation in the life sciences sector. This pivotal role operates at the intersection of Product, Engineering, Applied Research, and external partners, with a primary focus on accelerating the adoption of NVIDIA's Physical AI stack in real-world experimental and production settings. The scope covers the full workflow spectrum, from discovery labs through pilot, clinical, and commercial bio-manufacturing. This is not a generic Business Development role; it demands technical credibility, ecosystem leadership, and robust partner execution.
What You'll Be Doing
- Lead strategic relationships with key partners and opinion leaders within the field of life sciences automation.
- Build and activate a network across AI science factory builders, lab automation system developers, instrument ecosystems, and contract manufacturing and development organizations.
- Promote NVIDIA Physical AI capabilities (Isaac Sim/Lab, Omniverse, Cosmos, Metropolis, cuOpt, Jetson/IGX) across the ecosystem.
- Drive early adoption of NVIDIA technologies in robotic manipulation, work cell orchestration, digital twins, fleet optimization, and vision-based quality workflows.
- Translate partner and market feedback into actionable product and engineering requirements.
- Work across the organization with Healthcare BD, DevRel, Product, Engineering, and Applied Research teams.
- Speak at relevant scientific, technical, and industry conferences.
What We Need To See
- Master's, PhD, or equivalent experience in robotics, automation engineering, biomedical/chemical engineering, or a related domain.
- 8+ years working in automation within the biological sciences, robotics, manufacturing automation, or process development.
- 4+ years in developer-facing strategic partnerships, ecosystem programs, or DevRel-style leadership.
- Strong understanding of lab and manufacturing automation pertaining to the biotechnology sector, including regulated workflow constraints.
- Hands-on experience in technical computing environments relevant to computational representation, digital counterparts, AI-enabled automation, or adjacent domains.
- Outstanding written and verbal communication skills across technical and executive audiences.
Ways To Stand Out From The Crowd
- Proven leadership in robotics, lab automation, or manufacturing digital transformation related to the biological research field.
- Track record building high-value ecosystem partnerships with measurable platform adoption outcomes.
- Practical familiarity with NVIDIA-relevant platform areas (simulation, digital twins, vision AI, optimization, edge AI).
- Strong conference and public speaking record in scientific or technical communities.
- Proven track record in developing product direction through structured field feedback and requirement synthesis.
Key skills/competency
- Alliance Management
- Physical AI
- Life Sciences
- Automation Engineering
- Robotics
- Ecosystem Development
- Digital Twins
- Lab Automation
- Strategic Partnerships
- Developer Engagement
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight experience in alliance management, physical AI, and life sciences automation relevant to NVIDIA's stack.
- Prepare for technical depth: Showcase hands-on experience in robotics, digital twins, or AI-enabled automation projects.
- Practice communication skills: Be ready to articulate complex technical concepts and strategic partnership visions to diverse audiences.
- Network proactively: Connect with NVIDIA professionals in Healthcare BD, DevRel, or Engineering on LinkedIn to gain insights.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the primary focus of the Senior Alliance Manager Physical AI for Life Sciences role at NVIDIA?
02What NVIDIA technologies are central to this Senior Alliance Manager position?
03How important is a technical background for a Senior Alliance Manager in Physical AI at NVIDIA?
04What kind of partner ecosystem will the Senior Alliance Manager engage with at NVIDIA?
05What specific outcomes is NVIDIA looking for from this Senior Alliance Manager's alliances?
06How does this NVIDIA role translate market feedback into product development?
07What level of public speaking is expected from this Senior Alliance Manager at NVIDIA?
08What is the salary range for a Senior Alliance Manager, Level 5, at NVIDIA?
09How does NVIDIA foster diversity within its teams, especially for roles like the Senior Alliance Manager?
10What is the application deadline for the Senior Alliance Manager Physical AI for Life Sciences position at NVIDIA?
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