{"schemaVersion":"jobsearcher.job.v1","id":"bf82d75bd2ecec3f24507d05","url":"https://jobsearcher.com/jobs/bf82d75bd2ecec3f24507d05","canonicalUrl":"https://jobsearcher.com/jobs/bf82d75bd2ecec3f24507d05","title":"3.22 Robotics Simulation Systems Engineer","description":"Overview\r\nField AIis 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.\r\nResponsibilities\r\nOwn SIL/HIL simulation infrastructure\r\nDesign, implement, and maintain SIL/HIL rigs, including real-time loops, I/O, and fault-injection\r\nIntegrate simulators into CI/CD for repeatable, automated regression testing\r\nDevelop sensor/actuator interfaces and bring-up procedures for lab and field use\r\nModel robot and vehicle dynamics\r\nBuild and validate dynamics models for legged systems, humanoids, and car-like platforms\r\nImplement contact/friction models, parameter identification, and sensor/terrain effects\r\nCreate configurable scenarios, environments, and disturbances for coverage testing\r\nAccelerate workloads on GPU\r\nParallelize simulation, perception, and policy evaluation using CUDA and PyTorch\r\nProfile and optimize kernels, memory movement, and mixed CPU/GPU pipelines\r\nScale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2/EKS/Batch) for fast iteration\r\nGenerate data and close the ML loop\r\nProduce synthetic datasets with domain randomization and high-fidelity annotations\r\nConnect simulation output to training pipelines; track dataset versions and metrics\r\nManage datasets in AWS S3 and wire up distributed processing for large data volumes\r\nPlan experiments and report results\r\nDesign statistically sound Monte Carlo studies and acceptance tests\r\nVisualize performance with plotting libraries (e.g., Bokeh/Matplotlib); publish dashboards\r\nSummarize findings in clear engineering reports and reviews\r\nIntegrate with robotics software\r\nBuild ROS/ROS2 nodes, messages, and tooling; simulate sensors and networks\r\nDevelop and test in Gazebo/Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs)\r\nCreate reproducible dev environments (Docker, CMake) and enforce code health (linting, tests)\r\nQualifications\r\n3+ years building robotics simulation or controls software (or equivalent research/industry experience)\r\nStrong coding in Python and C/C++, plus Linux, Git, CI/CD, and containerization practices\r\nHands-on experience building SIL/HIL setups, including real-time constraints and hardware I/O\r\nProficiency with ROS and ROS2 development (nodes, topics, services, bags)\r\nHands-on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration)\r\nSolid background in rigid-body kinematics/dynamics, contact/friction, and basic state estimation\r\nProven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops\r\nAWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM)\r\nAbility to design and run Monte Carlo simulations and report results with Bokeh/Matplotlib\r\nSynthetic data generation for ML training (domain randomization, labeling, dataset versioning)\r\nPreferred Qualifications\r\nDeep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono\r\nPrior work on legged/humanoid control or car-like dynamics (trajectory planning, MPC, tire/ground models)\r\nSensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models\r\nDistributed compute for large-scale simulation (multi-GPU, Ray/Kubernetes) and AWS infra-as-code (Terraform/CloudFormation)\r\nSafety-critical mindset and familiarity with robotics/automotive standards\r\nPublications, patents, or significant open-source contributions in simulation, control, or robotics tooling\r\nExperience bringing up real robots and closing the sim-to-real gap through calibration and validation\r\nCompensation and Benefits\r\nOur salary range is generous ($70,000 - $200,000 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.\r\nWhy Join Field AI?\r\nWe 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.\r\nYou 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.\r\nBe Part of the Next Robotics Revolution\r\nTo 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.\r\nLocation\r\nWe are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.\r\nEqual Opportunity\r\nWe 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, martial status, mental or physical disability, or any other legally protected status.\r\nJ-18808-Ljbffr","company":"Fieldai","rawCompany":"fieldai","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:04:12.293Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"3.22 Robotics Simulation Systems Engineer","description":"Overview\r\nField AIis 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.\r\nResponsibilities\r\nOwn SIL/HIL simulation infrastructure\r\nDesign, implement, and maintain SIL/HIL rigs, including real-time loops, I/O, and fault-injection\r\nIntegrate simulators into CI/CD for repeatable, automated regression testing\r\nDevelop sensor/actuator interfaces and bring-up procedures for lab and field use\r\nModel robot and vehicle dynamics\r\nBuild and validate dynamics models for legged systems, humanoids, and car-like platforms\r\nImplement contact/friction models, parameter identification, and sensor/terrain effects\r\nCreate configurable scenarios, environments, and disturbances for coverage testing\r\nAccelerate workloads on GPU\r\nParallelize simulation, perception, and policy evaluation using CUDA and PyTorch\r\nProfile and optimize kernels, memory movement, and mixed CPU/GPU pipelines\r\nScale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2/EKS/Batch) for fast iteration\r\nGenerate data and close the ML loop\r\nProduce synthetic datasets with domain randomization and high-fidelity annotations\r\nConnect simulation output to training pipelines; track dataset versions and metrics\r\nManage datasets in AWS S3 and wire up distributed processing for large data volumes\r\nPlan experiments and report results\r\nDesign statistically sound Monte Carlo studies and acceptance tests\r\nVisualize performance with plotting libraries (e.g., Bokeh/Matplotlib); publish dashboards\r\nSummarize findings in clear engineering reports and reviews\r\nIntegrate with robotics software\r\nBuild ROS/ROS2 nodes, messages, and tooling; simulate sensors and networks\r\nDevelop and test in Gazebo/Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs)\r\nCreate reproducible dev environments (Docker, CMake) and enforce code health (linting, tests)\r\nQualifications\r\n3+ years building robotics simulation or controls software (or equivalent research/industry experience)\r\nStrong coding in Python and C/C++, plus Linux, Git, CI/CD, and containerization practices\r\nHands-on experience building SIL/HIL setups, including real-time constraints and hardware I/O\r\nProficiency with ROS and ROS2 development (nodes, topics, services, bags)\r\nHands-on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration)\r\nSolid background in rigid-body kinematics/dynamics, contact/friction, and basic state estimation\r\nProven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops\r\nAWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM)\r\nAbility to design and run Monte Carlo simulations and report results with Bokeh/Matplotlib\r\nSynthetic data generation for ML training (domain randomization, labeling, dataset versioning)\r\nPreferred Qualifications\r\nDeep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono\r\nPrior work on legged/humanoid control or car-like dynamics (trajectory planning, MPC, tire/ground models)\r\nSensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models\r\nDistributed compute for large-scale simulation (multi-GPU, Ray/Kubernetes) and AWS infra-as-code (Terraform/CloudFormation)\r\nSafety-critical mindset and familiarity with robotics/automotive standards\r\nPublications, patents, or significant open-source contributions in simulation, control, or robotics tooling\r\nExperience bringing up real robots and closing the sim-to-real gap through calibration and validation\r\nCompensation and Benefits\r\nOur salary range is generous ($70,000 - $200,000 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.\r\nWhy Join Field AI?\r\nWe 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.\r\nYou 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.\r\nBe Part of the Next Robotics Revolution\r\nTo 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.\r\nLocation\r\nWe are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.\r\nEqual Opportunity\r\nWe 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, martial status, mental or physical disability, or any other legally protected status.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:04:12.293Z","dateModified":"2026-04-09T09:04:12.293Z","hiringOrganization":{"@type":"Organization","name":"Fieldai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bf82d75bd2ecec3f24507d05"},"url":"https://jobsearcher.com/jobs/bf82d75bd2ecec3f24507d05"}}