Robot Application Algorithm Engineer

Valeo•Reno, NV

7d•Remote

About The Position

Valeo is a global tech company focused on reinventing mobility through innovative solutions. As a Robot Application Algorithm Engineer, you will work on industrial robotic manipulation tasks like grasping, assembly, and precision insertion. Your responsibilities will include robot visual perception, grasp and manipulation planning, closed-loop vision/force-feedback control, and system deployment. This role is preferred to be located in Reno, NV, but is open to candidates across the U.S.

Requirements

Bachelor's degree or above in Robotics, Automation, Computer Science, or a related field.
3+ years of experience in robot vision-guided grasping algorithms or robot application development.
Familiar with forward/inverse kinematics, coordinate transformations, trajectory planning, and the basic principles of robot arm control.
Familiar with OpenCV, PCL, RGB-D cameras, etc., with hands-on experience in object detection/segmentation, point cloud processing, object pose estimation, or grasp pose computation.
Familiar with camera calibration, hand-eye calibration, and transformations from vision coordinates to robot coordinates; understand the principles of robot force control and compliant control.
Hands-on experience with real-robot commissioning/debugging and industrial project deployment.

Nice To Haves

Familiarity with VLA + RL / learning-based manipulation methods such as RECAP and RLT is preferred.
Practical experience with impedance control, admittance control, or hybrid force/position control.

Responsibilities

Develop robot visual perception systems, including object detection, instance segmentation, object localization, 6D pose estimation, point cloud processing/registration, and grasp pose computation.
Using robot motion planning frameworks such as MoveIt/MoveIt2, deliver a complete closed-loop workflow from visual localization to robot execution, including kinematics solving, grasp pose planning, collision detection, and motion planning.
Combine vision, depth information, and force/torque feedback to perform online correction of end-effector poses, improving task success rates under target position errors, assembly tolerances, and environmental variations.
Integrate the robot software architecture and vision, planning, and control modules based on ROS/ROS2.
Responsible for robot on-site deployment, production-line adaptation, integration and commissioning with upstream and downstream equipment, and issue troubleshooting; continuously optimize cycle time, success rate, and stability; prepare technical documentation and train on-site personnel.
Participate in validation of robot manipulation algorithms based on VLA, imitation learning, reinforcement learning, etc., including end-to-end policies from visual input to robot action output, as well as precision manipulation strategies that fuse vision and force feedback.