3.22 Robotics Simulation Systems Engineer

Job Description

Job Description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

About the Job

You’ll build and own the simulation stack that powers development and testing for legged robots, humanoids, and car‑like platforms. The work spans software‑in‑the‑loop (SIL) and hardware‑in‑the‑loop (HIL) setups, GPU‑accelerated physics and learning loops, synthetic data generation, and rigorous Monte Carlo evaluation—with clear, visual reporting. You’ll also scale sim farms and data pipelines in AWS and work hands‑on in Gazebo / Ignition and NVIDIA Isaac Sim .

What You’ll Get To Do

• Own SIL / HIL simulation infrastructure
• Design, implement, and maintain SIL / HIL rigs, including real‑time loops, I / O, and fault‑injection.
• Integrate simulators into CI / CD for repeatable, automated regression testing.
• Develop sensor / actuator interfaces and bring‑up procedures for lab and field use.
• Model robot and vehicle dynamics
• Build and validate dynamics models for legged systems, humanoids, and car‑like platforms.
• Implement contact / friction models, parameter identification, and sensor / terrain effects.
• Create configurable scenarios, environments, and disturbances for coverage testing.
• Accelerate workloads on GPU
• Parallelize simulation, perception, and policy evaluation using CUDA and PyTorch .
• Profile and optimize kernels, memory movement, and mixed CPU / GPU pipelines.
• Scale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2 / EKS / Batch) for fast iteration.
• Generate data and close the ML loop
• Produce synthetic datasets with domain randomization and high‑fidelity annotations.
• Connect simulation output to training pipelines; track dataset versions and metrics.
• Manage datasets in AWS S3 and wire up distributed processing for large data volumes.
• Plan experiments and report results
• Design statistically sound Monte Carlo studies and acceptance tests.
• Visualize performance with plotting libraries (e.g., Bokeh / Matplotlib); publish dashboards.
• Summarize findings in clear engineering reports and reviews.
• Integrate with robotics software
• Build ROS / ROS 2 nodes, messages, and tooling; simulate sensors and networks.
• Develop and test in Gazebo / Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs).
• Create reproducible dev environments (Docker, CMake) and enforce code health (linting, tests).

What You Have

The Extras That Set You Apart

Compensation and Benefits

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?

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 any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.