Simulations are being reinvented in the face of AI. Handcrafted game-engine simulators are giving way to neural simulation — data-driven scene reconstruction and AI-generated environments that make it possible to test and train driving and robotics at a fidelity and scale that wasn't previously achievable. NVIDIA's AlpaDreams model and AlpaSim stack are the beginning of redefining the baseline for next-generation simulation.
We are seeking an engineering leader to help productization of these amazing technologies. You will form a team, take the ground breaking research in neural rendering, simulation, and learning, and harden it into a robust, modular, production-quality platform. This role lives at the boundary between research and production — you need enough technical depth to evaluate what's coming out of research, and the execution chops to platform developers can depend upon.
You'll work alongside extraordinary 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
Take the latest research in neural rendering, simulation, and learning and work it into a modular architecture that supports fast exploration of this space
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
Drive the research-to-production pipeline: take fragile prototypes and ship them as things developers can depend on
What we need to see:
Outstanding track record of contributions to the Graphics, Simulation, Robotics, Machine Learning or AV fields
Bachelors degree or equivalent experience
12+ years experience, 6+ years leading teams
Track record of taking research-stage systems and shipping them as robust, 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:
Have you worked on neural rendering, differentiable simulation, or generative world models? Have you built developer ecosystems or research communities around open-source projects? Direct experience with AV simulation platforms like CARLA, Applied Intuition, dSPACE, or internal OEM tools is a huge plus. So is experience across the AV ecosystem -- OEMs, Tier-1s, startups, research labs -- and understanding what they actually need from a simulation platform.
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
Similar Jobs
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.”
