Member of Technical Staff
Antioch
Member of Technical Staff
Antioch
Hardware-calibrated, scalable robotics simulation platform
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.
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.
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.
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
Antioch builds high-fidelity, hardware-calibrated AI simulation environments for robotics and autonomy teams. Its Ark platform containers a customer’s hardware and software stack into a versioned artifact and ties into CI/CD so simulation becomes the standard development loop. The simulations run at scale, from a single experiment to thousands of parallel evaluations, enabling testing and validation before real-world deployment. Antioch’s approach differentiates itself by tightly integrating hardware with software in a reproducible, scalable pipeline, collaborating with partners like Ring, NVIDIA, and Nebius. The company’s goal is to improve the reliability and speed of autonomous systems development by providing accurate, scalable simulations that mirror real hardware and enable continuous testing and iteration.
Explore more opportunities at Antioch