• Learn and Use Automation Anywhere • Analyzing as-is processes and building as-is process maps via data.io • Conducting interviews with SMEs to decompose as-is process maps • Develop Bots according to Specs

• Own the performance and reliability of robots deployed across customer sites in Georgia, Florida, and North Carolina • Build strong working relationships with onsite maintenance teams • Proactively manage preventive maintenance schedules • Deploy new robotic systems and support remote troubleshooting efforts

Role Description We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment—including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities. We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware. Key Responsibilities - Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping - Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms - Develop robust point cloud processing and filtering for reliable operation - Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding - Create and manage datasets for perception model training, validation, and regression testing - Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements - Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation - Contribute to CI/CD pipelines for perception software testing and deployment Qualifications - 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company - Strong proficiency in C++ and Python - Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM) - Hands-on experience with camera-based perception - Production experience with ROS or ROS 2 - Experience with sensor calibration (intrinsic, extrinsic, multi-sensor) - Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks - Track record of deploying perception software to real robots in real environments—not just simulation - Strong debugging skills and comfort working with physical hardware - Excellent communication skills and ability to work in a small, fast-moving team Nice to Have - Master’s degree or higher in Computer Science, Robotics, or a related field - Experience with AWS IoT, Greengrass, or similar edge-cloud architectures - Experience in logistics, warehousing, or freight environments - Background in Gazebo or other physics simulation for sensor modeling Remote Work Requirements This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided. Benefits - Competitive salary and equity in an early-stage robotics company - Comprehensive benefits including health, dental, and vision - Permissive time off policy - A small team where your work has direct, visible impact on shipped products - The chance to work on robots that are operating in production today—not a research project

Role Description We are looking for a Robotics Navigation and Control Engineer to own the motion planning, path planning, and control systems on our autonomous mobile robots. Our robots navigate constrained spaces—inside trailers, across loading docks, and through active warehouse floors—carrying heavy loads with tight tolerances. This role is responsible for making that movement safe, precise, and reliable. We need someone who has shipped navigation and controls software on real robots at real customer sites. You should have hands-on experience tuning controllers on physical hardware, dealing with wheel slip, load dynamics, and the gap between simulation and reality. Academic publications are great, but production deployment experience is what matters here. Key Responsibilities - Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments - Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics - Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure - Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop - Build simulation models and validate them against real robot behavior for faster development iteration - Analyze and improve robot performance using field data, telemetry, and logs from deployed systems - Collaborate with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features - Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet Qualifications - 5+ years of professional experience developing navigation and control systems for physical robots at a robotics or autonomous vehicle company - Strong proficiency in C++ and Python - Deep understanding of motion planning algorithms (A*, D*, RRT variants, lattice planners, or similar) - Hands-on experience designing and tuning controllers for mobile robot platforms - Production experience with ROS or ROS 2 navigation stacks - Experience with localization techniques (EKF, particle filters, scan matching, visual odometry) - Demonstrated ability to bridge the sim-to-real gap—tuning algorithms that work on actual hardware, not just in simulation - Comfort analyzing system behavior from logs and telemetry data - Strong communication skills and ability to work effectively in a small team Nice to Have - Master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field - Experience with model predictive control (MPC) or adaptive control approaches - Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management - Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments - Background in logistics, warehousing, or heavy-payload robotics Remote Work Requirements This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration, testing, and tuning on physical robots. A company laptop and necessary peripherals will be provided. Benefits - Competitive salary and equity in an early-stage robotics company - Comprehensive benefits including health, dental, and vision - Permissive time off policy - A small team where your work has direct, visible impact on shipped products - The chance to work on robots that are operating in production today—not a research project