Simulation Engineer

Antioch • New York City, NY

1d • Hybrid

About The Position

Antioch is the agentic simulation platform for robotics and autonomy. We allow teams to design, train, and test 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.

Requirements

• 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

Responsibilities

• 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.

Benefits

• High ownership
• Fast iteration
• Direct customer feedback
• 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.
• Early team members help define engineering culture, product direction, and how we win.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed