Open Source Codebase Summer Intern
Lexington, MA
Full-time
Onsite
1 month ago
About the role
https://discord.gg/5w2BNaQ6B7
FastCrest is building Reflex, an open-source deployment and debugging layer for vision-language-action robot models.
Reflex helps robotics builders take VLA policies like pi0, pi0.5, SmolVLA, and GR00T from research checkpoints to real hardware. The goal is to make the annoying parts easier: export, serve, validate, benchmark, trace failures, and run models on edge GPUs.
This is an unpaid open-source contributor role, not a paid job or internship. It is for people who want to build in public, contribute to a serious robotics infrastructure repo, and work on real problems in physical AI. You will be moved to a paid role should you prove to be a valuable contributor.
Good contribution areas:
Useful background:
If you want to contribute, apply with your GitHub, a short note on what part of the stack interests you, and any robotics, ML, systems, or open-source work you have done.
Repo: https://github.com/FastCrest/reflex-vla
Discord: https://discord.gg/5w2BNaQ6B7
FastCrest is building Reflex, an open-source deployment and debugging layer for vision-language-action robot models.
Reflex helps robotics builders take VLA policies like pi0, pi0.5, SmolVLA, and GR00T from research checkpoints to real hardware. The goal is to make the annoying parts easier: export, serve, validate, benchmark, trace failures, and run models on edge GPUs.
This is an unpaid open-source contributor role, not a paid job or internship. It is for people who want to build in public, contribute to a serious robotics infrastructure repo, and work on real problems in physical AI. You will be moved to a paid role should you prove to be a valuable contributor.
Good contribution areas:
- Add support for new VLA repos and model formats
- Improve ONNX / TensorRT export paths
- Build evals for robot policy behavior
- Add Jetson / edge GPU deployment tests
- Work on failure tracing, replay, and debugging tools
- Improve docs, examples, and contributor onboarding
- Explore ROS2, simulation, and real robot integration
Useful background:
- Python
- PyTorch
- Robotics, ML, or systems engineering
- ONNX / TensorRT / CUDA experience is a plus, but not required
- Comfort reading papers and turning them into working code
If you want to contribute, apply with your GitHub, a short note on what part of the stack interests you, and any robotics, ML, systems, or open-source work you have done.
Repo: https://github.com/FastCrest/reflex-vla
Discord: https://discord.gg/5w2BNaQ6B7
Skills
Education and TrainingRobotics Engineering