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What You’ll Do:
- Build the software backbone for autonomy-focused foundation models: design and ship multimodal data pipelines and reproducible training/evaluation workflows.
- Implement and iterate on LLM, VLM, and VLA architectures; own model code paths, input/tokenization, inference runners, and output heads.
- Integrate and operate simulators for closed-loop evaluation; build tooling for metrics, visualization, and experiment management.
What We’re Looking For:
- Education & Experience: MS in CS/ML/Robotics or BS + ≥2 years building ML/data/evaluation systems.
- Software engineering excellence: Strong Python fundamentals and a track record of shipping production-quality code/APIs and reliable automation.
- Pipelines → Training → Serving: Demonstrated experience building data/ML pipelines and evaluation tooling using PyTorch, TensorFlow, or JAX.
Humble Robotics
We're building the next generation of ground transportation with advanced physical AI to simplify freight challenges. Our stealth team, founded by engineers who scaled autonomous driving, is developing a new vehicle platform and focuses on creating reliable real-time autonomous systems.