Mechanical Engineering Internship

GrayMatter Robotics is a well-capitalized and rapidly accelerating robotics/AI startup located in Downtown Los Angeles. We are developing brains for robots to transform them into smart assistants for helping humans in tedious and ergonomically challenging tasks. The robot brain comprises machine learning, motion planning, computer vision, and control algorithms. We use the robot brain to power application-specific software for automating surface treatment applications such as sanding, polishing, buffing, and spraying. You will be part of an energetic and cross-functional team dedicated to developing robotic solutions for complex and challenging problems for existing and new markets. This is a part-time position where you will be working with a dedicated team of professionals in a fast-paced, innovative, and collaborative environment.

Position Summary

The Mechanical Engineering Intern will work on designing, implementing, and testing robotic systems.

Am I a good fit?
  • You love manufacturing, robotics, and AI and want to change the world with smart robotic assistants for advanced manufacturing
  • You are excited to have hands-on experience in solving hard problems
  • You are ready to learn new skills, work efficiently, and pay attention to the details
  • You are determined to meet personal and team goals
Must have
  • Currently a student in Engineering or a related field
  • Expertise in 3D CAD design and load analysis
  • Experience in iterative design and prototyping of cyber-physical and mechatronic systems
  • Exposure to manufacturing processes and industries
Good to have
  • Industry work experience
  • Experience in manufacturing process optimization
  • Experience in developing standard operating procedures and documentation
  • Programming skill in C++ / python
  • Experience with Linux environment
  • Background in kinematics / dynamics / control systems / motion planning / optimization / machine learning / robotics / computer vision / artificial intelligence / computational geometry
  • Experience with ROS