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Senior Manager, AlpaSim and AlpaDreams Production

NVIDIANVIDIA·Semiconductors

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About the role

Simulations are transforming due to AI. Handcrafted game-engine simulators are being replaced by neural simulations, involving data-driven scene reconstruction and AI-generated environments. These advances enable testing and training in driving and robotics at levels of fidelity and scale not seen before. NVIDIA's AlpaDreams model and AlpaSim stack are redefining the baseline for next-generation simulation.

We are seeking an engineering leader to productize these outstanding technologies. You will build a team and transform innovative research in neural rendering, simulation, and learning into a durable, modular, production-level platform. This position connects research and production — requiring deep technical expertise to evaluate research and practical skill to deliver a world-class platform. You'll work alongside outstanding research teams and NVIDIA leadership. If turning breakthrough research into something developers rely on every day sounds like the best job you can envision, we'd love to talk!

What you'll be doing:

  • Establish AlpaSim and AlpaDreams as the open-source standard for neural simulation in AV, and scale the team and community to get there.

  • Integrate the most recent findings in neural rendering, simulation, and learning into a modular architecture that allows for quick investigation of this field.

  • Own product and engineering excellence — performance, scalability, reliability, developer experience, CI/CD, release management.

  • Partner with research teams to translate breakthroughs into production-ready platform capabilities.

  • Lead the research-to-production pipeline: transform delicate prototypes into reliable tools that developers can rely on.

What we need to see:

  • Demonstrated record of meaningful achievements in the Graphics, Simulation, Robotics, Machine Learning, or AV fields.

  • 12+ overall years experience, 5+ years leading teams.

  • Bachelors degree or equivalent experience.

  • Demonstrated experience turning research-stage systems into dependable, scalable products.

  • Strong understanding of ML frameworks, distributed systems, and production infrastructure.

  • Results-focused leadership -- you build the process, hit the dates, and hold the quality bar.

Ways to stand out from the crowd:

  • Direct experience with AV simulation platforms like CARLA, Applied Intuition, dSPACE, or internal OEM tools is a huge plus.

  • Experience across the AV ecosystem -- OEMs, Tier-1s, startups, research labs -- and understanding what they actually need from a simulation platform.

  • Previous work on neural rendering, differentiable simulation, or generative world models.

  • Experience building developer ecosystems or research communities around open-source projects.

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 - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$212.45+3.54%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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