Antioch
Simulation Engineer
New York City
Sponsorship not specifiedDetected 85 days ago
PythonC++Data AnalysisComputer VisionRoboticsSignal ProcessingSensorsActuators
About the role
- 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.
- 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.
Responsibilities
- 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).
- 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.
- You'll work alongside Antioch's founders, software engineers building cloud and orchestration infrastructure, and 3D technical artists producing simulation assets.
- 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.
- High ownership. You'll own systems end-to-end rather than narrow tasks, with fast iteration and direct customer feedback.
- Build the company, not just the product. Early team members help define engineering culture, product direction, and how we win.
- Experience developing custom measurement or calibration software and workflows
Requirements
- Ability to port complex physical systems into simulation and reason quantitatively about sim-to-real and real-to-sim fidelity.
- 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 have
- Hands-on experience with robotics or hardware simulation (Isaac Sim/Lab, MuJoCo, Gazebo, PyBullet, or similar).
- Isaac Sim/Lab is a plus.
Skills
- Antioch is the agentic simulation platform for robotics and autonomy.
Benefits
- Computer vision background as it relates to sensor modeling and evaluation
Company info
- 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.
- 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.
- Communicate clearly with customers and internal teams about assumptions, tradeoffs, and limitations.
- You don't need every box checked. We're looking for strength in most of these:
- 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.
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This listing is sourced directly from Antioch's careers page and normalized into a canonical job model.