Onboard AV Software Engineer

Humble Robotics is building an autonomous, zero-emissions hauler that lowers freight costs with vision-based AI for global logistics. The Onboard AV Software Engineer will optimize and deploy machine learning models on onboard embedded GPUs and improve performance across the autonomous driving stack. The role also involves developing real-time C++ and Rust infrastructure and collaborating with ML and vehicle systems engineers to meet safety and latency requirements.

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