NVIDIA Corporation

Director, AV Simulation Product Management

NVIDIA Corporation • $272K — $425K *
Manufacturing & Automotive
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of product management experience with complex technical platforms.
  • 5+ years in a senior or director-level PM role leading high-performing teams.
  • Deep understanding of autonomous driving workflows and safety validation methodologies.
  • Hands-on familiarity with neural reconstruction and sensor simulation techniques.
  • Proven ability to build multi-year product strategies in high-ambiguity environments.
  • Outstanding communication and stakeholder management skills.
  • BSc or MSc in Computer Science, Electrical Engineering, Robotics, or related field.

Responsibilities

  • Define and own the long-term product vision and roadmap for NVIDIA's AV simulation platform.
  • Drive end-to-end product lifecycle from requirements definition to customer adoption.
  • Build partnerships with OEMs and AV developers to co-develop platform capabilities.
  • Translate fleet data workflows and policy evaluation needs into executable product requirements.
  • Establish and track key product metrics to guide prioritization and communicate progress.
  • Collaborate with go-to-market teams to drive platform adoption and articulate value.
  • Lead and mentor a team of Product Managers focused on AV simulation.
  • Represent NVIDIA's simulation vision at industry events and executive briefings.

Benefits

  • Equity participation in NVIDIA's growth.
  • Comprehensive health and wellness programs.
  • Flexible work arrangements to support work-life balance.
  • Opportunities for professional development and career growth.
Full Job Description
As the Director of Simulation Product Management, you will own the product vision, strategy, and roadmap for NVIDIA's autonomous driving simulation platform. You will be the connective force between research, engineering, go-to-market, and our OEM and AV developer customers-shaping how the industry uses NVIDIA's simulation technology to reconstruct real-world driving data, generate safety-critical synthetic scenarios, and close the loop between AV policy training and real-world deployment. This role demands deep fluency in AV simulation workflows, sharp product instincts, and the leadership presence to align a world-class organization behind a clear and ambitious roadmap.

What You'll Be Doing:
  • Define and own the long-term product vision and roadmap for NVIDIA's AV simulation platform-spanning neural reconstruction (NuRec), generative simulation (Cosmos Sim), synthetic data generation (Cosmos Transfer) data curation (Cosmos Curator and Dataset Search), and closed-loop policy evaluation (AlpaSim).
  • Drive end-to-end product lifecycle from requirements definition through engineering execution and customer adoption, ensuring NVIDIA's simulation tools are the standard for AV development at scale.
  • Build deep partnerships with OEMs, robotaxi operators, and AV software developers to understand their simulation pipelines, surface unmet needs, and co-develop platform capabilities that directly accelerate their path to safe deployment.
  • Partner closely with research and engineering teams to translate fleet data workflows, sensor modeling requirements, and policy evaluation needs into well-scoped, executable product requirements.
  • Establish and track key product and ecosystem metrics-scenario coverage, reconstruction fidelity, closed-loop evaluation throughput, and customer adoption-and use them to guide prioritization and communicate progress to executive leadership.
  • Collaborate with go-to-market, developer relations, and solutions engineering to drive platformadoption, shape developer programs, and articulate the value of NVIDIA's simulation stack versus competing approaches.
  • Lead, mentor, and grow a team of Product Managers focused on AV simulation, establishing best practices and raising the bar for PM excellence across the organization.
  • Represent NVIDIA's simulation vision at industry events, safety and standards forums, and executive briefings-communicating the technical depth and strategic importance of simulation to both engineering and business audiences.


What We Need to See:
  • 12+ overall years of product management experience, with a strong track record of delivering complex technical platform products at scale.
  • 5+ years in a senior or director-level PM role, with demonstrated experience leading and growing high-performing PM teams.
  • Deep understanding of autonomous driving development workflows-including sensor data pipelines, closed-loop simulation, synthetic data generation, and safety validation methodologies.
  • Hands-on familiarity with neural reconstruction, 3D Gaussian Splatting, or sensor simulation techniques, with the technical depth to engage credibly with research and engineering teams.
  • Demonstrated ability to build multi-year product strategy in a fast-moving, high-ambiguity environment, and to drive cross-functional execution against that strategy.
  • Outstanding communication and stakeholder management skills, with a proven ability to influence and align across engineering, research, business development, and external partners.
  • Experience building developer or enterprise platform products, with a clear understanding of how to grow adoption through APIs, SDKs, and open ecosystems.
  • BSc or MSc in Computer Science, Electrical Engineering, Robotics, or a related technical discipline, or equivalent experience.


Ways to Stand Out from the Crowd:
  • Direct experience owning or contributing to a simulation platform at an AV company, OEM, or AV software developer-ideally across the full stack from scene reconstruction to closed-loop evaluation.
  • Working knowledge of NVIDIA's AV simulation ecosystem, including NuRec, Cosmos, AlpaSim, or the Alpamayo model family.
  • Familiarity with sim-to-real transfer challenges and the techniques-domain randomization,
  • neural rendering, real-to-sim pipelines-used to close the gap between simulation and physical deployment.
  • Experience with reinforcement learning workflows in simulation, including policy post-training and closed-loop RL frameworks such as AlpaGym and track record of building developer ecosystems around simulation or physical AI platforms, including open-source programs, partner integrations, and community-driven adoption.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 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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