Senior Manager, AlpaSim and AlpaDreams Production

Reposted 9 Hours Ago
Be an Early Applicant
3 Locations
In-Office
272K-489K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the productization of AlpaSim and AlpaDreams technologies. Oversee architecture integration, manage team performance, and transform prototypes into reliable tools, focusing on developer experience and production excellence.
Summary Generated by Built In

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 Required

  • 12+ years overall experience
  • 5+ years leading teams
  • Bachelor's degree or equivalent experience
  • Experience turning research systems into scalable products
  • Strong understanding of ML frameworks and production infrastructure

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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