below marketmost similar roles pay hereabove market
This role pays less than
65%
of similar roles. Most pay
$177,250–$242,400
— the blue band above.
At the midpoint, this role pays about
$186k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
Product Manager - BioNeMo Inference will lead the BioNeMo Inference team to define how developers and researchers deploy, operate, and scale biomolecular AI inference workloads. The role involves defining the product vision, strategy, and roadmap for inference products built on NVIDIA NIM and accelerated computing. Key responsibilities include defining requirements for performance optimization such as batching, throughput, latency, GPU utilization, and multi-node scaling. The position requires developing the developer experience across APIs, SDKs, containers, Helm charts, and reference architectures. Candidates must possess technical expertise in AI/ML inference systems, model serving, and cloud-native infrastructure including Docker, Kubernetes, and CI/CD. This role solves the technical challenge of translating biomolecular model capabilities into production-ready inference experiences across cloud and enterprise environments.
What does a Product Manager earn in California?
Median $222500 from 327 postings across 57 companies.
Define the product vision, strategy, and roadmap for BioNeMo inference products and NIM-based deployments.
Translate model capabilities into production-ready inference experiences by working with engineering and research teams.
Define technical requirements for batching, throughput, latency, GPU utilization, and multi-node scaling.
Ensure BioNeMo inference products deploy cleanly across cloud and enterprise Kubernetes-based environments.
Develop the developer experience across APIs, SDKs, containers, Helm charts, and technical documentation.
Engage with early customers to validate product direction and turn feedback into prioritized requirements.
Establish and monitor product metrics for adoption, usability, performance, and operational quality.
Drive cross-functional product launches in coordination with marketing, sales, and developer relations.
What we're looking for
5+ years of industry experience, 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.
Strong customer discovery, product requirement definition, prioritization, and roadmap-management skills.
Excellent written and verbal communication skills for both technical and non-technical audiences.
Experience launching and scaling AI inference, model-serving, MLOps, or GPU-accelerated infrastructure products (preferred).