Robotics AI & Simulation Software Engineer

About the RoleJoin us to develop the next generation of AI-enabled cleaning intelligence for autonomous robots operating in complex, dynamic, and human-populated environments.This role sits at the intersection of robotics software engineering, applied AI, simulation, robot validation, perception model deployment, and safety-oriented system design. You will help build AI modules that make autonomous cleaning robots more intelligent, adaptive, robust, and certifiable in real-world outdoor operations.You will work closely with robotics software, AI perception, navigation, mechatronics, and system engineering teams to translate advanced AI and simulation methods into reliable robot capabilities for real-world deployment.Key Responsibilities● Develop AI models, AI modules, and software features for cleaning intelligence, including debris detection, cleaning zone understanding, cleaning behavior adaptation, anomaly detection, environmental awareness, and future intelligent cleaning workflows.● Design and implement AI-driven robotic behavior modules that interface with ROS 2, Nav2, mission planning, perception, localization, mapping, and robot application layers.● Improve and maintain robot simulation environments using Gazebo, NVIDIA Isaac Sim, and related robotics simulation tools.● Reduce the sim-to-real gap by improving robot models, sensor models, environment realism, scenario coverage, physics assumptions, perception inputs, and validation workflows.● Develop simulation-based test suites for robot behavior, navigation, perception outputs, safety-related scenarios, and mission-level performance.● Build automated regression tests to validate robot software behavior across releases, including scenario replay, simulation-based acceptance tests, edge-case testing, and performance benchmarking.● Support AI perception development in areas such as model improvement, dataset preparation, model evaluation, deployment optimization, inference performance, and MLOps workflows.● Work with the AI Perception Robotics Software Engineer to integrate perception model outputs into robot behaviors, cleaning intelligence features, safety layers, and mission-level decision-making.● Develop tools and workflows for AI model lifecycle management, including data collection support, dataset versioning, model evaluation, benchmark reporting, deployment tracking, and field-performance feedback loops.● Support development of safety-oriented software features such as speed-limiting logic, perception-based safety layers, warning/fallback behaviors, operational design domain checks, and safety-relevant robot state monitoring.● Contribute to safety engineering activities, including risk analysis support, safety requirement tracking, validation planning, test evidence preparation, and technical discussions with safety certification agencies.● Research and prototype future embodied AI capabilities for cleaning robotics, including vision-language models, vision-language-action models, world models, world-action models, and AI-based robot task reasoning.● Validate AI and simulation features on real robots through field testing, data analysis, debugging, performance measurement, and iterative improvement.● Contribute to scalable robotics software infrastructure, engineering practices, documentation, and release-quality validation processes.RequirementsEducation● Bachelor’s degree in Computer Science, Robotics, Computer Engineering, Electrical / Electronics Engineering, Mechanical Engineering, Mechatronics, or a related field.● Master’s or PhD is advantageous but not required.Experience● Experience developing robotics software for autonomous robots, mobile robots, intelligent machines, or related robotic systems.● Experience with AI, computer vision, perception models, robot simulation, or autonomous system validation.● Experience working with ROS 2-based robotic systems.● Experience taking prototype software into real-world robot testing or deployment.● Experience with simulation tools such as Gazebo, NVIDIA Isaac Sim, Webots, Unity, Unreal, or similar.● Experience with applied AI development, model evaluation, model deployment, or AI software integration.● Experience with safety-related robotics development, validation, or certification support is advantageous.Technical Skills● Strong C++ and Python programming skills.● Experience with ROS 2, Linux-based development, and robotics middleware.● Familiarity with Nav2, behavior trees, robot state machines, mission execution, or autonomous navigation systems.● Hands-on experience with deep learning frameworks and deployment tools such as PyTorch, ONNX, TensorRT, CUDA, or similar.● Good understanding of AI perception tasks such as object detection, semantic segmentation, scene understanding, tracking, or 3D perception.● Experience building simulation scenarios, robot models, sensor models, test worlds, or automated simulation pipelines.● Strong debugging, benchmarking, testing, optimization, and system integration skills.● Ability to design structured validation tests for robot behavior, perception performance, simulation scenarios, and regression checks.● Good understanding of how AI perception and robot intelligence interface with planning, control, navigation, safety, and mission-level behavior.Nice to Have● Experience with NVIDIA Jetson / AGX, CUDA, TensorRT, or GPU-accelerated AI deployment.● Experience with NVIDIA Isaac Sim, Isaac ROS, synthetic data generation, domain randomization, or sim-to-real workflows.● Experience with Gazebo simulation, ROS2 control, robot URDF/SDF models, plugins, and sensor simulation.● Experience with MLOps, dataset management, model evaluation pipelines, experiment tracking, or scalable AI validation workflows.● Experience with automated testing, CI/CD, simulation regression testing, scenario replay, or hardware-in-the-loop testing.● Experience with safety standards or certification concepts such as ISO 13849, IEC 61508, ISO 3691-4, ISO 12100, functional safety, risk assessment, or safety validation.● Experience with outdoor robotics, autonomous mobile robots, cleaning robots, service robots, autonomous vehicles, or field robotics.● Interest in embodied AI, VLMs, VLAs, world models, robot foundation models, or AI-based task planning.Why Join Us● Work on real autonomous cleaning robots deployed in real-world environments.● Build AI features that directly improve cleaning performance, safety, autonomy, and product intelligence.● Develop simulation and validation infrastructure that improves robot reliability and release quality.● Help shape the future cleaning intelligence stack for autonomous cleaning robots.● Work across AI, robotics software, simulation, safety, perception, navigation, and field deployment.● Contribute to future embodied AI capabilities for commercially meaningful robotics applications.