Simulation Engineer

You don't need every box checked. We're looking for strength in most of these:

Hands-on experience with robotics or hardware simulation (Isaac Sim/Lab, MuJoCo, Gazebo, PyBullet, or similar). Isaac Sim/Lab is a plus.

Experience building, calibrating, and validating simulations of one or more sensing modalities, including the underlying physics (optics, RF, timing, noise) and downstream signal processing where relevant.

Ability to port complex physical systems into simulation and reason quantitatively about sim-to-real and real-to-sim fidelity.

Strong Python skills for data analysis, automation, and tooling.

Comfort working from incomplete information, applying measurement and system identification techniques to fill in gaps, and documenting assumptions clearly.

A track record of shipping production-ready capabilities, not just prototypes.

Non-visible sensing experience (infrared/thermal, UV, radar, lidar)

Experience developing custom measurement or calibration software and workflows

Computer vision background as it relates to sensor modeling and evaluation

Rust or C++ in addition to Python

You're in NYC or open to relocating

You’re a high-agency builder: you don’t wait to be told what to do, you go figure it out

You give a shit — you care deeply about what you ship and reflexively take accountability

You like the 0 → 1 environment and chose it on purpose

You balance craft and pragmatism: you push for excellence, but ship what's needed now

You're comfortable with uncertainty and love diving across the stack to solve a problem

You're customer-obsessed and want the thing to work for real people

Real problems, real stakes. Our customers build physical autonomous systems that have to behave correctly in the real world, and our work directly affects whether they get there.

High ownership. You'll own systems end-to-end rather than narrow tasks, with fast iteration and direct customer feedback.

Team caliber. Work with a founding team who have previously built and sold companies, and worked at leading companies like Google Deepmind, Tesla Autopilot, Meta Reality Labs, and more.

Build the company, not just the product. Early team members help define engineering culture, product direction, and how we win.

Application review

Introduction call

Technical Interview (a sample technical and programming interview that closely emulates work you'll do in the role)

Project Deep Dive (one of your past projects, in detail)

Onsite with the Antioch team in New York City