Technical PM — BioNeMo Inference & AI Deployments

NVIDIA; Santa Clara (CA); On-site; USD 148,000 - 224,000; Full time

Job summary

NVIDIA's BioNeMo team seeks a highly technical Product Manager to own BioNeMo Inference. You will define vision, strategy, and a roadmap for NIM-based deployment, performance, scalability, and developer onboarding.

Collaborate across engineering, research, cloud, and product teams to translate capabilities into production-ready inference experiences. You will drive requirements for batching, latency, GPU utilization, and multi-node scaling, while shaping the developer experience with APIs, SDKs,

Qualifications

• 5+ years in industry with 3+ years in software engineering or deeply technical roles and 2+ years in product management
• Master’s degree in Electrical, Mechanical, Materials, or 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: Docker, Kubernetes, Helm, CI/CD, and public-cloud deployment concepts
• Ability to work fluently with engineers on system architecture, performance bottlenecks, and roadmap tradeoffs
• Strong customer discovery, requirement definition, prioritization, and roadmap-management skills
• Excellent written and verbal communication for technical and non-technical audiences
• Collaborative, self-starting approach with ability to influence across matrixed teams

Responsibilities

• Define product vision, strategy, and roadmap for BioNeMo inference products, including NIM-based deployment, performance optimization, scalability, and developer onboarding
• Collaborate 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/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

Skills

AI/ML inference

Model deployment

GPU infrastructure

Kubernetes

Docker

DevOps

Cross-functional collaboration

Education

Master’s degree

Equivalent experience

Tools

Docker

Kubernetes

Helm

CI/CD

Public cloud

Job description

NVIDIA's BioNeMo team seeks a highly technical Product Manager to own BioNeMo Inference. You will define vision, strategy, and a roadmap for NIM-based deployment, performance, scalability, and developer onboarding.

Collaborate across engineering, research, cloud, and product teams to translate capabilities into production-ready inference experiences. You will drive requirements for batching, latency, GPU utilization, and multi-node scaling, while shaping the developer experience with APIs, SDKs,