14 часов назад
Robotics Navigation and Control Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Navigation and Control Engineer (Robotics): Building and deploying motion planning, localization, and control systems for autonomous mobile robots carrying heavy loads in constrained logistics environments with an accent on real-world navigation, controller tuning, and safety. Focus on bridging the sim-to-real gap, analyzing field telemetry, and integrating autonomy features across perception, hardware, and cloud systems.
Location: Remote within the United States, with periodic travel to the Atlanta facility for hardware integration, testing, and tuning on physical robots.
Company
develops autonomous robotic systems for loading and unloading freight trailers in demanding logistics environments.
What you will do
- Design and optimize path planning and trajectory generation for autonomous mobile robots in constrained logistics environments.
- Develop and tune PID, MPC, or similar motion controllers for heavy-payload platforms.
- Implement obstacle avoidance, safety behaviors, and localization integration with perception systems.
- Build simulation models and validate them against real robot behavior to accelerate development.
- Analyze field data, telemetry, and logs to improve robot performance.
- Collaborate with perception, hardware, and cloud infrastructure teams and contribute to CI/CD for controls software deployment.
Requirements
- 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 such as A*, D*, RRT variants, or lattice planners.
- Hands-on experience designing and tuning controllers for mobile robots, including real-world dynamics such as wheel slip and heavy payloads.
- Production experience with ROS or ROS 2 navigation stacks and localization techniques such as EKF, particle filters, scan matching, or visual odometry.
- Experience deploying algorithms on physical hardware, analyzing logs and telemetry, and working effectively in a small team.
Nice to have
- Master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field.
- Experience with MPC, adaptive control, AWS IoT, Greengrass, or edge computing.
- Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments.
- Background in logistics, warehousing, or heavy-payload robotics.
Culture & Benefits
- Work on autonomous robots already operating in production.
- Small, high-impact team with direct influence on shipped products.
- Competitive salary and equity in an early-stage robotics company.
- Health, dental, and vision benefits.
- Permissive time off policy.
- Company laptop and necessary peripherals provided.
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