Sim2Real Engineer - Tech Lead
Listed on 2026-07-31
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Software Development
Robotics, Software Engineer
About Neolix US:
Neolix is a global leader in L4 autonomous driving, with over 30,000 proprietary autonomous logistics vehicles (Robo Vans) deployed across 300+ cities in 15+ countries and ~200 million autonomous kilometers logged.
In June 2026, Neolix ranked #1 globally in last-mile autonomous delivery on the Road to Autonomy Index—scoring 74.7, ahead of Starship Technologies (73.7), Serve Robotics, and Coco. Built by Autnmy AI and calculated/distributed by S&P Dow Jones Indices (refreshed every 12 hours), this index is based strictly on regulatory disclosures, financial reports, and verified operational records—not self-reported marketing. View the Index
We are building a Silicon Valley frontier autonomous-driving team for Neolix. As our Sim2
Real Engineer, you will build the training ground—using simulation and synthetic data to teach models to handle the real-world long tail. Your sharp focus will be on last-mile delivery scenarios that are difficult and expensive to collect on-road.
The highest-value long tail for us is at the "last meter": loading/unloading, precise curbside docking, navigating around pedestrians and pets, and handling flooded roads—exactly the scenarios our fleet has flagged as pain points.
What You'll Do:- Build and Extend: Develop simulation environments utilizing CARLA, Isaac Sim, Gym, Mu Jo Co , Drake, Genesis, or in-house solutions.
- Create Pipelines: Build synthetic-data pipelines focusing on procedural scene generation, sensor simulation (camera/LiDAR/radar), and domain randomization.
- Drive Transfer: Lead sim2real transfer by understanding the sources of the reality gap, learning how to close it, and successfully taking sim-trained models to the real vehicle.
- Prioritize the Long-Tail: Focus heavily on last-mile delivery generation, including docking/unloading, curbside precision, vulnerable road users, and adverse conditions (e.g., standing water).
- Required Experience: You MUST have direct autonomous driving industry experience from top-tier AV programs (specifically Waymo, Cruise, Tesla, Zoox, or XPENG
). - Simulation Mastery: Proven experience building or heavily utilizing a simulator (CARLA, Isaac Sim, Gym, Mu Jo Co , Drake, Genesis, or in-house).
- Data Pipelines: Deep understanding of synthetic-data pipelines (procedural scenes, sensor sim, domain randomization).
- Sim2
Real Execution: Hands-on sim2real transfer experience (sim-trained → real robot/vehicle) with a clear, demonstrable grasp of reality-gap mitigation. - Bonus Points:
Experience with differentiable physics, neural simulation, world models; a strong background in graphics, physics engines, or rendering. - Equity: Generous founding-team equity package
- Benefits: Premium health, dental, and vision insurance, 401(k), and comprehensive Silicon Valley tech perks
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