Product Manager - BioNeMo Inference jobs in United States
cer-icon
Apply on Employer Site
company-logo

NVIDIA · 4 hours ago

Product Manager - BioNeMo Inference

NVIDIA is transforming healthcare with AI to power the next generation of innovation in Biology and Life Sciences. They are seeking a Product Manager to drive the development and implementation of their innovative bio-AI inference strategy, impacting the rapidly evolving industry of AI-driven biology and drug discovery.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Develop and carry out a full-stack inference strategy for the BioNeMo platform, including NVIDIA Inference Microservices (NIMs) and Blueprints, aligned with company goals and objectives
Act as a liaison between the Digital Biology ecosystem and the rest of NVIDIA. Communicate the ecosystem priorities to the horizontal product teams and influence roadmaps to include feature development relevant for the bio ecosystem
Define and prioritize product features and requirements, balancing customer needs, technical feasibility, and business objectives
Communicate product vision, strategy, and progress to collaborators and senior management, providing regular updates and reports
Collaborate with sales and marketing teams to develop go-to-market strategies, messaging, and positioning for the product
Monitor product performance and gather feedback from customers and users, using data to drive continuous improvements and inform future product development
Keep informed about developments and innovations in artificial intelligence and bio-inspired neural modeling and apply knowledge to guide the product roadmap

Qualification

Product ManagementDeep LearningBioinformaticsSoftware DevelopmentLarge Scale AI DeploymentLife Sciences KnowledgeNVIDIA Products ExperienceISV Platforms FamiliarityCommunicationLeadership SkillsCollaboration Skills

Required

Master's degree (or equivalent experience) in Electrical, Mechanical, Materials, or other related fields
At least 8 years of experience in Software Engineering, Deep Learning, Large Scale AI deployment
Deep technical foundation: should possess an extensive understanding of software development, machine learning, and bioinformatics. This involves familiarity with programming languages, frameworks, and tools frequently employed in these areas
Experience with product management: the ideal candidate should have prior experience in product management or equivalent, with a track record of successfully launching and managing technical products. This includes the ability to build product roadmaps, gather and prioritize requirements, and work cross-functionally with engineering, marketing, and sales teams
Knowledge of the life sciences industry, including current trends and challenges. This involves understanding bioinformatics, genomics, and drug discovery processes
Excellent communication and leadership skills: this role will require the candidate to effectively communicate complex technical concepts to both technical and non-technical collaborators. They should also be able to lead and collaborate with a diverse team of engineers, data scientists, and product managers

Preferred

Hands-on experience with NVIDIA products like NIMs, TensorRT-LLM, vLLM
Hands-on experience with deployment of large-scale AI models for production workloads
Familiarity with ISV platforms and understanding of how product integrations work for ISVs

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

leader-logo
Jensen Huang
Founder and CEO
linkedin
leader-logo
Michael Kagan
Chief Technology Officer
linkedin
Company data provided by crunchbase