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Sim2Real Engineer - Tech Lead

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Neolix
Full Time position
Listed on 2026-07-31
Job specializations:
  • Software Development
    Robotics, Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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).
What We Look For:
  • 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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