Product Manager - BioNeMo Inference - CA, Santa Clara, United States
$148,000 - $224,250 USD yearly
Originally posted 30 July 2026 by the employer.
Lead the inference strategy for the BioNeMo platform.
About the role
This role involves driving the development and implementation of the bio-AI inference strategy for the BioNeMo platform. You will contribute to the future of AI technology in the rapidly evolving life sciences industry.
What you'll do
- Develop and execute a full-stack inference strategy for the BioNeMo platform, including NVIDIA Inference Microservices (NIMs) and Blueprints.
- Act as a liaison between the Digital Biology ecosystem and horizontal product teams, influencing roadmaps.
- Define and prioritize product features and requirements, balancing customer needs, technical feasibility, and business goals.
- Communicate product vision, strategy, and progress to stakeholders and senior management.
- Collaborate with sales and marketing teams to develop go-to-market strategies, messaging, and positioning.
- Monitor product performance and gather feedback to drive continuous improvements and inform future product development.
- Stay informed about developments in artificial intelligence and bio-inspired neural modeling to guide the product roadmap.
What you'll need
- Master's degree (or equivalent experience) in Electrical, Mechanical, Materials, or related fields.
- 5+ years of experience in Software Engineering, Deep Learning, Large Scale AI deployment.
- Extensive understanding of software development, machine learning, and bioinformatics, including programming languages, frameworks, and tools.
- Experience in product management with a track record of launching and managing technical products, including building product roadmaps, gathering requirements, and working cross-functionally.
- Knowledge of the life sciences industry, including trends and challenges, bioinformatics, genomics, and drug discovery processes.
- Excellent communication and leadership skills to effectively communicate complex technical concepts and collaborate with diverse teams.
Skills: product vision, strategy, go-to-market strategies, product performance, product roadmaps, life sciences industry
This role has been open 71 days — well above the 44-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
44 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 22 | 70 |
| Median days open | 32 d | 44 d (−12 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product vision, strategy, go-to-market strategies, product performance, product roadmaps, life sciences industry
Who's hiring in this category
- NVIDIA (this employer) · 22 open roles · median 32 d
- Qualcomm · 10 open roles · median 66 d
- AMD · 8 open roles · median 51 d
- NXP Semiconductors · 4 open roles · median 17 d
- Analog Devices · 3 open roles · median 36 d
- SambaNova · 3 open roles · median 38 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 18 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.