Software Engineer Intern

Relling is a company focused on robotics and machine learning, seeking a Software Engineer Intern to contribute to various projects. The role involves working on data collection tools, training infrastructure, policy work, perception models, and deployment, while also tackling hands-on tasks and challenges.

What you'll do:

• Data collection tooling. Teleop capture, episode management, labeling pipelines. The difference between 8 minutes of usable demonstrations and 8 minutes of garbage is almost entirely tooling
• Training and evaluation infrastructure. Reproducible runs, checkpoint management, and — the part everyone skips — real evaluation harnesses. If we can't measure a policy's success rate with enough trials to trust the number, we don't know anything
• Policy work. Imitation learning (ACT, diffusion policies), visual servoing, observation-space design. Our experience matches the published literature here: what you condition the policy on matters more than which backbone you pick
• Perception glue. Segmentation and tracking models feeding structured observations to controllers. Lots of SAM2, DINOv2, and small task-specific networks
• Deployment. Getting the above onto real hardware, at real control frequencies, without it falling over on hour four
• Fix the data loader, chase a 20 Hz timing mismatch, re-cut a fixture, sit next to the cell and watch it fail 40 times

What they're looking for:

• Strong Python. You've written code other people had to maintain
• Comfort with PyTorch — you can read a training loop and know where to put a breakpoint
• Enough Linux and git to be self-sufficient
• Empirical instincts. When something doesn't work, your first move is to isolate a variable, not to change three things and re-run
• Currently enrolled in CS, EE, ME, robotics, or equivalent — or you can demonstrate the skills some other way. We care about the second clause
• Hands on real robots: ROS/ROS2, arm kinematics, cameras, calibration
• Familiarity with modern manipulation policies — ACT, Diffusion Policy, VLAs (π0, RDT, OpenVLA, GR00T)
• CAD, fixturing, or any ability to make a physical thing exist
• You've run an experiment that failed and can explain precisely why