Collaborate with mechanical electrical and software engineers to design, test, and troubleshoot special application end effectors on a 6-axis robot. Program robotic paths and behaviors for 6-axis arms. Integrate with ROS and ROS2. Design a learning pipeline for computer vision algorithms. Design, build, test, and troubleshoot robotic systems. Integrate sensors and actuators into robotic systems and analyze and optimize robotic system performance and accuracy. Create user interfaces for robotic systems. Own tasks and projects, ensuring proper release and hand-off. Apply engineering theories and methods to solve technical problems. Conduct pilot studies and formal experiments using Design of Experiment principles to benchmark performance against state-of-the-art approaches using well-reasoned metrics. Generate reports to support technical recommendations.
Work within a cross-functional team and assist in the design, analysis, and performance evaluation from concept to completion. Implement process control techniques like Six Sigma and Lean Manufacturing. Work onsite in the lab 5 days a week. Travel occasionally. Train other engineers.
Requirements
Degree in mechatronics, robotics, or a related field. 3-10 years of experience in robotics manipulation and computer vision. Excellent intuition with system hardware and physics. Background in robotics, machine learning, and reinforcement learning. Experience with C and Python in Linux environments. Strong problem-solving and troubleshooting skills. Understanding of Design of Experiment (DOE) principles. Experience with version control, preferably Git. Ability to work independently. Understanding of statistical process control and analysis. Experience in project management. Experience with Behavior Tree and MoveIt. Experience with robotic hardware design and end effector application development.
Technical Skills
Proficient in MCAD model creation using Siemens NX, Creo, and Solidworks. Knowledge of C, Python, OpenCV, TensorFlow, or PyTorch. Experience with JS and React. Experience with ROS and ROS2. Knowledge of web APIs or SDKs. Embedded Linux experience working with Kernels. Project management experience.
From smartphones and tablets to wearables and automobiles, it’s hard to go more than a few hours without using a semiconductor-enabled device. The semiconductor industry touches nearly every person on the planet, and chipmakers continue to advance the technology that powers it all.
As a trusted partner to the world’s leading semiconductor companies, we welcome challenges and we deliver. That’s why, today, nearly every advanced chip is built with Lam technology.
Our innovative wafer fabrication equipment and services allow chipmakers to build smaller and better performing devices. We combine superior systems engineering, technology leadership, and a strong values-based culture, with an unwavering commitment to our customers.