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Product Manager - BioNeMo Inference

NVIDIA· Product Management
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Santa Clara, CA$148k - $224.3kfull-timePosted 2mo ago

About the role

Technical Product Manager to lead BioNeMo Inference, guiding deployment, operation, and scaling of biomolecular AI inference workloads across cloud and enterprise environments with a focus on NVIDIA NIM-based infrastructure, developer experience, and open/enterprise boundaries.

Responsibilities

  • Define product vision, strategy, and roadmap for BioNeMo inference products, including NIM-based deployment, performance optimization, scalability, and developer onboarding.
  • Work closely with engineering, research, solution architects, cloud, and product teams to translate model capabilities into production-ready inference experiences.
  • Define requirements for inference optimization: batching, throughput, latency, GPU utilization, multi-GPU and multi-node scaling, caching, scheduling, observability, and reliability.
  • Partner with platform teams to ensure BioNeMo inference products deploy cleanly across cloud and enterprise environments, including Kubernetes-based environments.
  • Develop the developer experience across APIs, SDKs, containers, Helm charts, reference architectures, documentation, and examples.
  • Engage directly with early customers and partners to understand workflows, validate product direction, and turn feedback into prioritized requirements.
  • Establish product metrics for adoption, usability, performance, and operational quality; use data and customer insight to improve the product.
  • Drive cross-functional product launches with marketing, developer relations, sales, and solution architects.
  • Help shape the product boundary between open-source biomolecular models, NVIDIA NIMs, and enterprise-ready deployment and support.

Qualifications

  • 5+ years of industry experience, ideally including 3+ years in software engineering or a deeply technical role and 2+ years in product management.
  • Master’s degree (or equivalent experience) in Electrical, Mechanical, Materials, or other related fields.
  • Demonstrated experience defining and shipping technical products, platforms, APIs, SDKs, developer tools, or cloud services.
  • Strong understanding of AI/ML inference systems and deployment tradeoffs, including model serving, GPU infrastructure, batching, throughput, latency, scaling, and cost-performance optimization.
  • Familiarity with containers and cloud-native infrastructure, including Docker, Kubernetes, Helm, CI/CD, and public-cloud deployment concepts.
  • Ability to work fluently with engineers on system architecture, performance bottlenecks, operational requirements, and roadmap tradeoffs.
  • Strong customer discovery, product requirement definition, prioritization, and roadmap-management skills.
  • Excellent written and verbal communication skills for both technical and non-technical audiences.
  • A collaborative, self-starting approach and the ability to influence across highly matrixed teams.

Skills

Required:AI/ML inference systemsDeployment on cloud and KubernetesAPIs, SDKs, developer toolsProduct management

Benefits

  • equity
  • benefits
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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