Senior Robotics Software Engineer, Simulation & Evaluation

What You’ll Get To Do
Maintain, refactor, and improve internal robotics simulation tools and infrastructure.
Improve simulation fidelity for autonomy evaluation, including robot behavior, sensor modeling, timing, terrain interaction, and environment representation.
Build workflows for scenario execution, log replay, regression testing, metrics, and visualization.
Develop real-to-sim workflows that turn field logs, reconstructed environments, and failure cases into reproducible simulation scenarios.
Work with autonomy and field teams to identify and debug gaps between simulated and real robot behavior.
Improve developer workflows around simulation performance, reproducibility, debugging, and test automation.
Contribute to the long-term simulation strategy for legged robots and humanoids operating in complex real-world environments.
What You Have
3+ years of experience developing robotics simulation tools, simulation infrastructure, autonomy evaluation systems, or related robotics software.
Strong software engineering skills in C++ and/or Python.
Experience with simulation platforms such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or custom robotics simulators.
Familiarity with ROS2 or similar robotics middleware, including sensors, transforms, logs, and timing.
Experience with robot or simulation assets such as URDF, SDF, meshes, dynamics, or sensor models.
Ability to debug simulator-to-robot gaps across sensing, timing, dynamics, and autonomy behavior.
Comfortable working across research code, production robotics software, simulation infrastructure, and real-world robot deployment workflows.
What Will Set You Apart
Experience developing simulator plugins, custom sensor models, physics extensions, terrain/contact models, or environment authoring tools.
Experience with large-scale batch simulation, CI-based regression testing, deterministic replay, or scenario evaluation infrastructure.
Experience using real-world robot data to validate, tune, or improve simulation models.
Experience with software-in-the-loop, hardware-in-the-loop, log replay, or simulation correlation.
Experience with legged robots, humanoids, field robotics, or robots operating in unstructured environments.
Experience with Isaac Sim, Omniverse, USD, PhysX, ROS2, Docker, CMake, Bazel, or GitHub Actions.
What Will Set You Apart
Experience developing simulator plugins, custom sensor models, physics extensions, rendering pipelines, terrain/contact models, robot model generators, or environment authoring tools.
Experience building large-scale batch simulation, CI-based autonomy regression testing, deterministic replay, or scenario evaluation infrastructure.
Ability to use real-world robot data to validate, tune, or improve simulation models and autonomy evaluation workflows.
Experience with software-in-the-loop, hardware-in-the-loop, log replay, simulation correlation, or regression testing infrastructure.
Why Join Field AI
Build simulation systems that connect real-world robot deployment with faster, safer autonomy development.
Help turn field data into reproducible simulation scenarios and simulation results into more reliable deployed robots.
Work with a hands-on robotics team focused on autonomy in complex, unstructured, previously unknown environments.
Contribute to systems that are already being deployed globally and improving through real field experience.