ML Software Engineer

Humble Robotics is building the next generation of ground transportation with advanced physical AI for modern freight and autonomous systems. The ML Software Engineer will build autonomy-focused foundation model infrastructure, including multimodal data pipelines, model architectures, simulation and evaluation tooling, and production-grade inference systems.

Responsibilities:

• Build the software backbone for autonomy-focused foundation models: design and ship multimodal data pipelines (ingest, validate, shard, package) and reproducible training/evaluation workflows (manifests, checkpoints, failure handling)
• Implement and iterate on LLM, VLM, and VLA architectures; own model code paths, input/tokenization, inference runners, and output heads for downstream consumers
• Integrate and operate simulators for closed-loop evaluation; build tooling for metrics, visualization, and experiment management
• Deliver production-grade serving and inference tooling for deterministic, low-latency operation on bench/mule and eventual vehicle deployments
• Own systems from scratch: architecture → implementation → testing → documentation → iteration; raise the bar on code quality, reliability, and observability