Simulation Engineer

Antioch • New York, NY

2d • Hybrid

About The Position

Antioch is building the future of robotics development with a unified platform for designing, training, and testing physical systems in high-fidelity cloud simulation. This role is for an early, high-ownership builder who will take ambiguous, incomplete real-world systems and turn them into validated simulations that customers can trust. The Simulation Engineer will work across physics, sensors, data, and tooling, often in tight loops with customers, to bring real customer systems into Antioch and raise the fidelity bar across the platform. This is a 0 -> 1 role focused on shipping and directly impacting the success of autonomy systems in the real world.

Requirements

• Expertise with robotics and hardware simulation (e.g., NVIDIA Isaac Sim/Lab, MuJoCo, Gazebo, PyBullet, etc.)
• Experience building + calibrating simulations of at least one sensing system (camera, lidar, radar, infrared, UV), including hands-on debugging and tuning
• Experience with sensor signal processing (e.g., camera ISPs, radar DSPs, etc.)
• Foundational knowledge of the relevant physics/engineering (optical, RF, timing/synchronization, noise, etc.)
• Proven ability to work with incomplete information, make sound technical decisions, and document assumptions
• Strong Python skills for data analysis, testing, automation, and tooling
• Proven ability to rapidly prototype, establish calibration baselines, iterate quickly, and ship production-ready capabilities
• Experience creating digital twins, porting complex existing physical systems into software simulation, and evaluating sim-to-real and real-to-sim efficacy

Nice To Haves

• Isaac Sim/Lab experience is preferred
• Experience with non-visible sensing systems (infrared/thermal, UV, radar, lidar)
• Experience developing custom measurement/calibration software and workflows
• Familiarity with relevant standards (e.g., EMVA-1288 for cameras)
• Knowledge of computer vision principles (as it relates to sensor modeling + evaluation)
• Experience programming in Rust and/or C++ (in addition to Python)

Responsibilities

• Own customer system onboarding, end-to-end, by partnering directly with customers to ingest their existing physical systems (robots, sensors, actuators, environments) into Antioch.
• Translate incomplete specs and messy real-world data into working simulation models with clear assumptions and documented gaps.
• Drive the integration to completion, ensuring the simulation "runs in sim, matches reality within defined tolerances, and is usable by the customer."
• Build high-fidelity models of sensors and physical components, designing and implementing simulation capabilities for sensors, actuators, and interactivity (contacts, dynamics, timing, noise, artifacts, etc.).
• Build and calibrate simulations for one or more sensing modalities (e.g., cameras, lidar, radar, infrared/thermal, UV), including realistic failure modes and edge cases.
• Model the full sensor pipeline where relevant, including optics/RF + noise sources + signal processing (e.g., camera ISP behaviors, radar DSP stages).
• Validate correctness with quantitative rigor by defining test plans and acceptance criteria for model fidelity, applying measurement + system identification methods to estimate missing parameters, and producing quantitative validation results (plots, error metrics, regression tests).
• Make models performant and scalable by profiling bottlenecks, reducing compute cost, and improving determinism/reproducibility.
• Build internal tooling and automation (Python-first) for calibration, testing, and repeatable onboarding.
• Communicate complex technical concepts to technical and non-technical stakeholders, and write down assumptions, tradeoffs, and limitations.

Benefits

• High ownership: you’ll own systems end-to-end, not narrow tasks.
• Small team, high velocity: minimal bureaucracy, fast iteration, direct customer feedback loops.
• Team caliber: Antioch was founded by successful entrepreneurs who’ve built and sold businesses before, alongside leading engineers from companies like Meta, Google, Tesla, and others.
• Build the company, not just the product: early team members help shape 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