We are looking for a Robotics Engineer with deep interest and hands-on experience in robot manipulation, end-effectors, grippers, and grasping systems to join our team.
In this role, you will work on robotic systems that interact with the physical world through reliable, precise, and robust manipulation. You should be comfortable working across software and hardware, with a strong foundation in ROS / ROS 2, motion control, and real-world robotic deployment.
What you'll do
- Design, develop, and test robotic manipulation systems for real-world tasks
- Work on gripper design, grasp planning, grasp execution, and end-effector integration
- Build and maintain software stacks using ROS / ROS 2
- Integrate manipulators, sensors, cameras, force/torque feedback, and perception pipelines
- Develop and tune motion planning and control pipelines for manipulation tasks
- Prototype, evaluate, and improve grasping performance across varied objects and environments
- Collaborate across mechanical, electrical, and AI/software teams to bring systems from prototype to deployment
- Debug issues in hardware-software integration, calibration, and field performance
What we're looking for
- Degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field
- Strong experience in robot manipulation
- Experience with grippers, end-effectors, grasping strategies, and object handling
- Solid working knowledge of ROS / ROS 2
- Experience with robot kinematics, motion planning, controls, and system integration
- Familiarity with robotic arms, actuators, sensors, and calibration workflows
- Comfortable working in a hands-on R&D environment with real robots
- Strong problem-solving skills and ability to work across disciplines
Nice to have
- Experience with MoveIt, perception pipelines, or vision-guided manipulation
- Familiarity with force control, tactile sensing, or dexterous manipulation
- Experience deploying robots outside simulation into real-world environments
- Exposure to mobile manipulators, teleoperation, or learning-based manipulation
Who you are
- Curious, practical, and highly hands-on
- Comfortable iterating quickly between theory, code, and hardware
- Excited by building robotic systems that solve real physical problems
