Not specified (potentially hybrid or fully remote)
Neural rendering and simulation expertise
Experience with machine learning frameworks
Distributed systems and production infrastructure
NVIDIA is seeking a Senior Manager for its Alpasim and Alpadreams Production team, focused on advancing neural simulation technologies. The ideal candidate will have extensive experience in graphics, simulation, and machine learning, along with proven leadership skills to guide productization efforts in a cutting-edge environment
Job Summary
You will form a team and transform groundbreaking research in neural rendering, simulation, and learning into a scalable production platform.
This role bridges research and production, requiring technical depth to evaluate research and execution skills to deliver dependable developer tools.
You will partner with research teams and NVIDIA leadership to establish Alpasim and AlpaDreams as open-source standards for neural simulation in autonomous vehicles.
Matching Summary
Match Score: 85
NVIDIA is seeking a Senior Manager for its Alpasim and Alpadreams Production team, focused on advancing neural simulation technologies. The ideal candidate will have extensive experience in graphics, simulation, and machine learning, along with proven leadership skills to guide productization efforts in a cutting-edge environment.
Skills & Requirements
Must-have
Neural rendering and simulation expertise
Experience with machine learning frameworks
Distributed systems and production infrastructure
Engineering leadership and team scaling
Productization of research-stage systems
Nice-to-have
Experience with neural rendering or differentiable simulation
Building developer ecosystems or research communities
Familiarity with AV simulation platforms like CARLA or Applied Intuition
Knowledge of AV ecosystem including OEMs and Tier-1 suppliers
Key Requirements
12+ years experience
6+ years leading teams
Bachelor's degree or equivalent experience
Proven track record shipping scalable products from research
Strong understanding of ML frameworks and distributed systems