Robot Algorithm Engineer

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Ready to tackle the challenges of the vehicle of the future? Join Valeo and revolutionize the comfort and well-being of all passengers!

_ What you will win: _

As part of a global community of talented people, you will grow and thrive working on advanced technologies for greener, safer and smarter mobility. Our company culture gives all our employees the opportunity every day to #Dare.

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You will receive a best in class, total compensation package that provides a comprehensive benefits program with real financial value.

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.

Location:

Reno, NV preferred; open to candidates located anywhere in the U.S.

• 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 Move It/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/ROS
  2.
• 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.

• 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.

• 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

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