NVIDIA Corporation

Senior Product Manager, Inference Platform

NVIDIA Corporation • $208K — $379K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience delivering complex technical products
  • Bachelor's degree or higher, or equivalent experience
  • Strong written and verbal communication skills
  • Ability to thrive in ambiguous, fast-paced environments
  • Analytical thinker capable of breaking down complex problems
  • Strong user empathy to synthesize user needs
  • Familiarity with AI/ML systems and inference serving frameworks

Responsibilities

  • Define product vision and strategy for inference platform capabilities
  • Translate user needs and infrastructure constraints into clear requirements
  • Partner with engineering and research teams to drive execution from concept through launch
  • Manage the end-to-end product lifecycle for inference-related products
  • Develop a deep understanding of the inference ecosystem
  • Drive clarity in ambiguous situations through problem framing
  • Represent the voice of the user in product decisions

Benefits

  • Equity eligibility
  • Hybrid work model
  • Access to cutting-edge AI technologies for product development
  • Opportunities to shape directions for a high-impact platform
  • Support for personal and professional growth in a rapidly evolving field
Full Job Description
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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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