Sim2Real Engineer - Tech Lead

Neolix; Cupertino (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity package

Premium health/dental/vision benefits

401(k)

Job summary

Neolix US is building a Silicon Valley frontier autonomous-driving team to advance real-world last-mile delivery with cutting-edge sim2real work. You will design and extend simulation environments (CARLA, Isaac Sim, MuJoCo) and build synthetic-data pipelines for sensor modalities (camera, LiDAR, radar).

Your work will focus on closing the reality gap and transferring models from simulation to the real vehicle.

Qualifications

• Direct autonomous driving industry experience from top-tier AV programs (Waymo, Cruise, Tesla, Zoox, or XPENG).
• Proven experience building or heavily utilizing a simulator (CARLA, Isaac Sim, Gym, MuJoCo, Drake, Genesis, or in-house).
• Deep understanding of synthetic-data pipelines (procedural scenes, sensor sim, domain randomization).
• Hands-on sim2real transfer experience (sim-trained → real robot/vehicle) with clear mitigation of the reality gap.

Responsibilities

• Develop simulation environments and pipelines for last-mile delivery scenarios.
• Lead sim2real transfer and reduce the reality gap for model deployment.
• Focus on docking, unloading, curbside precision, and adverse conditions in simulation-to-vehicle transfer.

Skills

Autonomous driving experience

Simulation mastery

Data pipelines

Sim2Real transfer

Sensor simulation

Graphics/physics engines

Tools

CARLA

Isaac Sim

MuJoCo

Genesis

In-house simulator

Job description

About Neolix US:

Neolix is a global leader in L4 autonomous driving, with over 30,000 proprietary autonomous logistics vehicles (RoboVans) 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 Sim2Real 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, MuJoCo, 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, MuJoCo, Drake, Genesis, or in-house).
• Data Pipelines: Deep understanding of synthetic-data pipelines (procedural scenes, sensor sim, domain randomization).
• Sim2Real 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