Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Strategic partnerships
Ecosystem development
Technical communication
Robotics
Automation
About the Role
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.
Responsibilities
- 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, cu Opt, 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, Dev Rel, Product, Engineering, and Applied Research teams
- Speak at relevant scientific, technical, and industry conferences
Qualifications
- 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 Dev Rel-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
Compensation and Benefits
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.
Additional Information
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.
NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago