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Senior Alliance Manager, Physical AI for Life Sciences

Excelero Storage

Excelero Storage

Software Engineering, Data Science
United States · Canada · Massachusetts, USA · Santa Clara, CA, USA · New York, NY, USA · Remote
Posted on Feb 14, 2026

NVIDIA is seeking a Senior Alliance Manager for Physical AI in Life Sciences to advance meaningful alliances, community building, and developer/community engagement across automation in the life sciences sector. This role sits at the intersection of Product, Engineering, Applied Research, and external partners. It is responsible for accelerating the adoption of NVIDIA's Physical AI stack in real-world experimental and production settings. This role must cover the full workflow spectrum from discovery labs through pilot, clinical, and commercial bio-manufacturing. It is not a generic BD role; it requires technical credibility, ecosystem leadership, and strong 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 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.

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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 17, 2026.

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.