Senior Robotics Software Engineer, Simulation & Evaluation

FieldAI•Irvine, CA

About The Position

We are looking for a Robotics Simulation Software Engineer to build and improve Field AI’s internal simulation tools used for autonomy development, debugging, and evaluation. This role is for someone who goes beyond simply running simulators. We are looking for an engineer who can maintain and extend simulation systems, improve code quality and fidelity, debug simulator-to-robot gaps, and help turn real-world robot behavior into reproducible simulation scenarios. You will work closely with autonomy, infrastructure, and field teams to make simulation a practical part of the development loop: reproduce field issues, improve autonomy, and validate robot behavior before returning to the field.

Requirements

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.

Nice To Haves

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.
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.

Responsibilities

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.

Benefits

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.
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments.
Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking.
With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions.
We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise.
Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees.
Candidates and employees are always evaluated based on merit, qualifications, and performance.
We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or an
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
These tools assist our recruitment team but do not replace human judgment.
Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.