This role pays less than
66%
of similar roles. Most pay
$175,500–$232,112
— the shaded band above.
At the midpoint, this role pays about
$186k
versus about
$204k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Product Manager - BioNeMo Inference will lead the development of inference products for biomolecular research and drug discovery. This role focuses on defining product vision, strategy, and roadmaps for deploying, operating, and scaling biomolecular AI inference workloads using NVIDIA NIM and accelerated computing. The manager will define requirements for performance optimization including batching, throughput, latency, GPU utilization, multi-GPU/multi-node scaling, caching, scheduling, observability, and reliability. They will build the developer experience across APIs, SDKs, containers, Helm charts, reference architectures, and documentation while ensuring seamless deployment across cloud and enterprise environments using Kubernetes. Key technical requirements include expertise in AI inference systems, model serving, Docker, and CI/CD pipelines. The role addresses the challenge of translating complex biomolecular models into production-ready experiences for researchers and enterprise platform teams through cross-functional collaboration and customer discovery.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
AI Inference
TensorRT-LLM
vLLM
SGLang
NVIDIA Dynamo
Triton Inference Server
Quantization
Speculative Decoding
KV Caching
LLM
Deep Learning
Generative AI
Benchmarking
Capacity Planning
Autoscaling
Agentic AI
AI Inference
RAG
Speculative Decode
Vector Databases
Model Serving
CPU
Datacenter Platforms
Cloud Infrastructure
Benchmarking
Performance Optimization
Machine Learning
MLOps
Graph Intelligence
Feature Store
Graph Neural Networks
Sequence Modeling
Reinforcement Learning
Adversarial ML
Data Analytics
Product Development Life Cycle
Streaming Features