FieldAI · 4 hours ago
3.22 Robotics Simulation Systems Engineer
Irvine, CA
Full-time
Hybrid
Mid Level
$70K/yr - $300K/yr
3+ years expFieldAI is transforming how robots interact with the real world by building risk-aware AI systems for complex robotics challenges. The Robotics Simulation Systems Engineer will own the simulation stack for legged robots, humanoids, and car-like platforms, focusing on simulation infrastructure, data generation, and integration with robotics software.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
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)
Qualification
Required
3+ years building robotics simulation or controls software (or equivalent research/industry experience)
Strong coding in Python and C/C++, plus solid Linux, Git, CI/CD, and containerization practices
Hands‑on experience building SIL/HIL setups, including real‑time constraints and hardware I/O
Proficiency with ROS and ROS 2 development (nodes, topics, services, bags)
Hands‑on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration)
Solid background in rigid‑body kinematics/dynamics, contact/friction, and basic state estimation
Proven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops
AWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM)
Ability to design and run Monte Carlo simulations and report results with Bokeh /Matplotlib
Synthetic data generation for ML training (domain randomization, labeling, dataset versioning)
Preferred
Deep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono
Prior work on legged/humanoid control or car‑like dynamics (trajectory planning, MPC, tire/ground models)
Sensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models
Distributed compute for large‑scale simulation (multi‑GPU, Ray/Kubernetes) and AWS infra‑as‑code (Terraform/CloudFormation)
Safety‑critical mindset and familiarity with robotics/automotive standards
Publications, patents, or significant open‑source contributions in simulation, control, or robotics tooling
Experience bringing up real robots and closing the sim‑to‑real gap through calibration and validation
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase