Senior Product Manager, Inference Platform
NVIDIA· Product Management
Santa Clara, CA$208k - $327.8kFull-timePosted 3w ago
About the role
Product Manager for Inference Platform focusing on large-scale model serving across open source and proprietary models, shaping inference delivery at scale through APIs, capacity and cost management, and platform investments.
Responsibilities
- Define product vision and strategy for inference platform capabilities — including APIs, capacity management, cost management, performance and optimization, and model serving infrastructure.
- Translate user needs and infrastructure constraints into clear requirements and prioritized roadmaps.
- Partner closely with engineering, research, and user groups teams to drive execution from concept through launch.
- Be responsible for end-to-end product lifecycle for inference-related products and platform investments.
- Develop deep understanding of the inference ecosystem — model formats, serving frameworks, API formats, and the tradeoffs that matter at scale.
- Drive clarity in ambiguous situations by framing the problem, identifying what is known and unknown, and proposing a path forward.
- Represent the voice of the user and ensure product decisions are grounded in real needs, not assumptions.
- Track and synthesize developments across the inference landscape: open source model releases, serving frameworks, competitive dynamics, and emerging use cases.
Qualifications
- 12+ years of experience with a track record of delivering complex technical products.
- Bachelor's degree or higher, or equivalent experience.
- Strong written and verbal communication, able to write clear, concise product documents, specs, and strategies.
- Ability to operate in ambiguous, fast paced environments and make progress without a full playbook.
- Analytical professional who can break down complex problems, identify the right questions, and drive toward decisions.
- Strong user empathy — able to synthesize qualitative and quantitative signals into a coherent picture of what users need and why.
- Deep familiarity with AI/ML systems and inference serving frameworks (such as TensorRT-LLM, vLLM, or Triton Inference Server), tradeoffs involved, and what matters to model publishers, application developers and cloud operators.
- Experience with inference APIs- design, versioning, performance, hardware efficiency, and developer experience.
- Familiarity with open source as well as commercial model ecosystems and the different considerations each brings to a serving platform.
Skills
Required:Product strategy and roadmappingStakeholder collaborationTechnical understanding of AI/ML systemsAPI design and performance
Benefits
- equity
- benefits
Last updated Oct 2, 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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