Senior Product Manager, Inference Platform
Nvidia
Listing collected from Nvidia's career site. NextChapter is independent of Nvidia.
Santa Clara, CA · Posted September 28, 2026
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Where Santa Clara, CA ranks
Where Santa Clara, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for sales pay after cost of living$175k · of 45
- #1Best cities for product pay after cost of living$224k · of 14
- #2Best cities for operations pay after cost of living$173k · of 41
- #2Best cities for marketing pay after cost of living$192k · of 16
- #2Best all-round cities for remote workers in the West Coast85 / 100 · of 39
- #3Best cities for finance pay after cost of living$156k · of 35
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 312 open senior product manager listings that state pay, the middle half runs $168,000 to $205,000 and the median is $185,500.
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Senior Product Manager salaries by state · Check your own pay
How AI is used in this kind of work
Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
At NVIDIA, we are building the foundation & blueprints for how AI workloads are served at scale for NVIDIA employees and DSX Partners. As a Product Manager for Inference Platform, you will help define and drive the products and platform capabilities that enable large-scale models serving across a broad portfolio of models, both open source and proprietary. You will work at the intersection of AI research, infrastructure engineering, and real user needs, shaping how inference is delivered reliably, efficiently, and at scale. This is high-impact role. You will be expected to bring structure to undefined problem spaces, make progress without complete information, and build conviction through deep engagement with users, engineers, and the broader ecosystem of AI Cloud partners. The right candidate is equally comfortable discussing model serving architecture, token economics and writing a clear product brief. What you will be doing : 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. What we need to see : 12+ years of experience with a track record of delivering complex technical products. Bachelors degree or higher, or equivalent experience Strong written and verbal communication, you are 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. Ways to stand out from the crowd: Experience with sophisticated inference techniques: disaggregated prefill/decode, KV cache management, speculative decoding, or continuous batching. Background in large scale systems and developer platforms, cloud infrastructure, or MLOps tooling. Exposure to capacity planning, quota management, or resource scheduling in large-scale compute environments. You thrive in the early stages of building — where the problem is not fully defined, the team is still forming, and the decisions you make will shape direction for years. You don't wait for perfect information. You ask good questions, build conviction incrementally, and create momentum. You can balance user's reality and engineering constraints simultaneously. You bring clarity and cut through noise. You have a genuine curiosity about how inference works. You care about users’ needs beyond trivia, as it improves your product. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.