Senior Robotics Software Engineer (Simulation & ROS 2)

Job Description

As a Robotics Engineer, you will be responsible for owning the end-to-end development of autonomous capabilities, focusing on simulation-first workflows. Your key responsibilities will include:- Simulation-first delivery: - Building and maintaining high-fidelity worlds, robots, and sensors in Gazebo/Ignition and/or Isaac Sim - Developing domain-randomization and sensor-noise models to enhance sim-to-real transfer- Sensors & Estimation: - Integrating and calibrating LiDAR, camera, depth, radar, IMU, GNSS - Implementing and tuning EKF/UKF and map/pose graph maintenance- Navigation & Motion Planning: - Owning Nav2 stack, behavior trees, costmaps, planners/controllers, obstacle layers, and recovery behaviors - Implementing global/local planners such as sampling-based (RRT*, PRM) and trajectory optimization (CHOMP, TrajOpt, MPC)- ROS 2 Architecture: - Designing scalable node graphs, lifecycle nodes, parameters, and TF trees - Building robust launch systems, tooling, and observability- Performance & Reliability: - Profiling, latency budgets, CPU pinning, and establishing a test strategy - Collaboration & Leadership: - Writing clear design docs, mentoring teammates, and collaborating with hardware and ML teamsQualifications required for this role include:- 6-10 years in robotics with 3 years of experience in ROS 2 (Foxy)- Strong proficiency in C17/20 and Python- Deep hands-on experience with Gazebo/Ignition or Isaac Sim- Proven work in sensor fusion, calibration pipelines, Nav2 expertise, and motion planning- Familiarity with colcon/ament, CMake, Git, CI tools, debugging with gdb, and tracing with ros2_tracingNice-to-Have skills include experience with NVIDIA Ecosystem & Acceleration, deployments on Jetson, DDS vendor tuning, real-time systems, and ROS 2 tooling stack.The successful candidate for this role will demonstrate automation of navigation regressions in sim, success on benchmark routes/scenarios, robust sim-to-real transfer metrics, and reduced field bugs via failure injection. During the interview process, you may be asked to practically build a Nav2 BT plugin, design a ROS 2 graph for multi-sensor fusion Nav2, and create a sensor model with noise/latency for validation against real logs.This full-time position requires in-person work. As a Robotics Engineer, you will be responsible for owning the end-to-end development of autonomous capabilities, focusing on simulation-first workflows. Your key responsibilities will include:- Simulation-first delivery: - Building and maintaining high-fidelity worlds, robots, and sensors in Gazebo/Ignition and/or Isaac Sim - Developing domain-randomization and sensor-noise models to enhance sim-to-real transfer- Sensors & Estimation: - Integrating and calibrating LiDAR, camera, depth, radar, IMU, GNSS - Implementing and tuning EKF/UKF and map/pose graph maintenance- Navigation & Motion Planning: - Owning Nav2 stack, behavior trees, costmaps, planners/controllers, obstacle layers, and recovery behaviors - Implementing global/local planners such as sampling-based (RRT*, PRM) and trajectory optimization (CHOMP, TrajOpt, MPC)- ROS 2 Architecture: - Designing scalable node graphs, lifecycle nodes, parameters, and TF trees - Building robust launch systems, tooling, and observability- Performance & Reliability: - Profiling, latency budgets, CPU pinning, and establishing a test strategy - Collaboration & Leadership: - Writing clear design docs, mentoring teammates, and collaborating with hardware and ML teamsQualifications required for this role include:- 6-10 years in robotics with 3 years of experience in ROS 2 (Foxy)- Strong proficiency in C17/20 and Python- Deep hands-on experience with Gazebo/Ignition or Isaac Sim- Proven work in sensor fusion, calibration pipelines, Nav2 expertise, and motion planning- Familiarity with colcon/ament, CMake, Git, CI tools, debugging with gdb, and tracing with ros2_tracingNice-to-Have skills include experience with NVIDIA Ecosystem & Acceleration, deployments on Jetson, DDS vendor tuning, real-time systems, and ROS 2 tooling stack.The successful candidate for this role will demonstrate automation of navigation regressions in sim, success on benchmark routes/scenarios, robust sim-to-real transfer metrics, and reduced field bugs via failure injection. During the interview process, you may be asked to practically build a Nav2 BT plugin, design a ROS 2 graph for multi-sensor fusion Nav2, and create a sensor model with noise/latency for validation against real logs.This full-time position requires in-person work.

Keyskills :
PythonLinuxSensor FusionCalibrationSLAMCMakeGitDebuggingPerceptionOpenCVPCLDDSRTOSDockerROS 2GazeboIgnitionIsaac SimNavigation2Motion PlanningColconamentPyTorchTensorRTEtherCATCANMicroROSTF2RVizrqtpytest