Humble Robotics is building an autonomous, zero-emissions hauler designed for today’s global logistics network. They are seeking an Onboard AV Software Engineer to optimize and deploy ML models on their trucks' onboard compute and to manage performance across the autonomous driving stack.
Responsibilities:
- Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels
- Profile and reduce end-to-end latency across the autonomous driving stack—from sensor ingestion to control
- Build and maintain the onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers
- Implement model quantization, pruning, and other optimization techniques to maximize throughput on embedded GPU platforms
- Collaborate with ML engineers to ensure models are designed for efficient deployment, and with vehicle systems engineers to meet real-time safety constraints