NVIDIA
Senior Product Manager, Inference Platform
$208K–$380K
US, CA, Santa Clara · Manager · Full-time · Posted Sep 28, 2026
- Experience
- 12+ years.
- Education
- Bachelor’s degree or higher, or equivalent experience.
About the job
Defines and drives inference platform products that enable reliable, efficient, large-scale serving of open-source and proprietary AI models.
What you'll do
- Set product vision and strategy for platform capabilities, including APIs, capacity and cost management, performance, and model-serving infrastructure.
- Translate user needs and infrastructure constraints into requirements and roadmaps, and partner with engineering, research, and user groups through launch.
- Own the inference product lifecycle and track developments across models, serving frameworks, competitive dynamics, and use cases.
What they ask for
- 12+ years of experience delivering complex technical products.
- Bachelor’s degree or higher, or equivalent experience.
- Deep familiarity with AI/ML systems, inference-serving frameworks, their tradeoffs, and the needs of model publishers, application developers, and cloud operators.
- Experience with inference API design, versioning, performance, hardware efficiency, and developer experience.
Nice to have
- Experience with advanced inference techniques such as disaggregated prefill/decode, KV cache management, speculative decoding, or continuous batching.
- Background in large-scale systems, developer platforms, cloud infrastructure, MLOps tooling, capacity planning, quota management, or resource scheduling.
Pay
208,000 USD - 327,750 USD base salary (Level 5); 240,000 USD - 379,500 USD base salary (Level 6)
Tools
TensorRT-LLM, vLLM, Triton Inference Server
AI focus
Product management for large-scale AI inference and model serving, including platform capabilities and inference optimization.
Model-written summary · the original posting is authoritative