Robotics Perception & Autonomy Intern

Relativity Space; Long Beach (CA); On-site; USD 34,000 - 62,000; Part time

Job summary

Relativity Space is seeking an intern in California to develop perception pipelines and contribute to autonomous multi-robot systems. The role involves integrating LiDAR, cameras, and 3D sensors for robotic arms and mobile robots, with opportunities to work across hardware and software teams.

You will prototype sensor fusion approaches, assist with localization and mapping, and help integrate perception into production workflows.

Qualifications

• Currently pursuing a degree in Computer Science, Robotics, Electrical, or Mechanical Engineering.
• Proficient in Python and/or C++ with experience in robotics or perception applications.
• Familiarity with ROS2 or other robotics middleware.
• Strong problem-solving skills and interest in cooperative robotics, autonomy, and prototyping.

Responsibilities

• Develop and test perception pipelines using LiDAR, stereo/depth cameras, and 3D sensors for robotic arms and mobile robots.
• Contribute to localization, mapping, and cooperative autonomy algorithms enabling multi-robot teams to work together in large-scale environments.
• Prototype and evaluate sensor fusion approaches that combine vision, thermal, and laser data.
• Support toolpath generation and motion planning for robotic welding, grinding, and gouging tasks and mobile robots.
• Collaborate with robotics engineers to integrate perception with real-world platforms and production systems.

Skills

Python

C++

ROS2

Problem solving

Prototyping

Education

Currently pursuing a degree in Computer Science, Robotics, Electrical, or Mechanical Engineering

Job description

Relativity Space is seeking an intern in California to develop perception pipelines and contribute to autonomous multi-robot systems. The role involves integrating LiDAR, cameras, and 3D sensors for robotic arms and mobile robots, with opportunities to work across hardware and software teams.

You will prototype sensor fusion approaches, assist with localization and mapping, and help integrate perception into production workflows.