Member of Technical Staff, Simulation

Antioch; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Antioch is the simulation platform for physical AI. We enable teams to develop, evaluate, and generate synthetic data for their physical systems in a high-fidelity cloud environment. This is an early, high-ownership builder role; you’ll turn real systems into validated simulations that customers can trust.

You’ll work across physics, sensors, data, and tooling, often in tight loops with customers. If you like the 0 → 1 grind and want your work to determine whether autonomous systems succeed,

Qualifications

• Hands-on experience with robotics or hardware simulation.
• Experience building, calibrating, and validating simulations of sensing modalities and physics.
• Ability to port complex physical systems into simulation and reason about fidelity.
• Strong Python skills for data analysis, automation, and tooling.
• Track record of shipping production-ready capabilities.
• Comfort working from incomplete information and documenting assumptions clearly.

Responsibilities

• Ingest customer systems into Antioch and translate real data into simulations.
• Design and implement simulation capabilities across dynamics, contacts, actuators, environments, sensors.
• Build high-fidelity models of sensing systems with noise and failure modes.
• Improve performance, reduce compute cost, and improve determinism.
• Create internal Python tooling for calibration and testing.
• Develop simulation bindings for the agentic framework for digital twins.
• Communicate assumptions and tradeoffs clearly with customers and teams.

Skills

Robotics sim

Sim fidelity

Python tooling

Ownership mindset

Problem solving

Cross-stack

Tools

Isaac Sim/Lab

MuJoCo

Gazebo

PyBullet

Job description

Who are we?

Antioch is the simulation platform for physical AI. We allow teams to develop, evaluate, and generate synthetic data for their physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents.

With Antioch, teams create precision-calibrated digital twins, generate testing environments, and run massively parallel simulation scenarios. By moving development out of the field and into software, Antioch drastically reduces dependence on expensive, slow, and incomplete real-world testing.

We work with leading robotics, autonomy, and perception teams to make the deployment of physical autonomous systems safer, faster, and more cost-effective.

Who are we looking for?

We’re hiring Simulation Engineers to bring real customer systems into Antioch, push the platform’s fidelity, and develop the agentic harness that enables automated simulation.

This is an early, high-ownership builder role: you’ll take ambiguous, incomplete real-world systems and turn them into validated simulations that customers can trust. You’ll work across physics, sensors, data, and tooling — often in tight loops with customers.

If you like the 0 → 1 grind and want your work to directly determine whether autonomous systems succeed in the real world, you’ll fit right in.

What you'll do

• Partner directly with customers to ingest their physical systems into Antioch (robots, sensors, actuators, environments) and translate incomplete specs and messy real-world data into working simulation models.

• Design and implement simulation capabilities across the stack: dynamics, contacts, actuators, environments, and especially sensors.

• Build and calibrate high-fidelity models of sensing systems (cameras, lidar, radar, infrared, UV, etc.), including realistic noise, failure modes, and full-pipeline behaviors (optics/RF, ISP, DSP).

• Make models performant and scalable: profile bottlenecks, reduce compute cost, and improve determinism and reproducibility.

• Build internal Python tooling for calibration, testing, and repeatable customer onboarding.

• Build the simulation bindings for Antioch’s agentic framework, to enable automated digital twin creation, sim environment generation, and scenario testing.

• Communicate clearly with customers and internal teams about assumptions, tradeoffs, and limitations.

You’ll work alongside Antioch’s founders, software engineers building cloud and orchestration infrastructure, and 3D technical artists producing simulation assets.

What we're looking for

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.

Nice-to-haves

• 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 may be a great fit if…

• 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

Why Antioch

• 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.

Interview Process

1. Application review

2. Introduction call

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

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

5. Onsite with the Antioch team in New York City