Robot Application Algorithm Engineer

Valeo•Reno, NV

4d•Remote

About The Position

As a Robot Application Algorithm Engineer, you will work with industrial robotic manipulation scenarios such as grasping, assembly, and precision insertion, responsible for robot visual perception, grasp and manipulation planning, closed-loop vision/force-feedback control, and system deployment.

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.