AV Software Engineer

Job not on LinkedIn

🔥 55 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Humble Robotics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2026

📦 Logistics

🚗 Transport

🚘 Automotive

Logistics • Transport • Automotive

Humble Robotics is a technology company building the Humble Hauler — a purpose-built, cabless autonomous electric freight vehicle that combines tractor, trailer, and driver functionality into a single platform. The company emphasizes vision-first AI autonomy, dock-to-dock capability (including direct unloading at docks), predictive safety and redundant failsafe systems, and a full-service operating model with 24/7 remote operational support and charging. The Humble Hauler is positioned to lower per-mile costs through a lighter, electric design that increases hauling capacity, eliminates diesel dependency, and targets reliable, compliant large-scale logistics operations.

📋 Description

• 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

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience • Strong proficiency in C++ and/or Rust for performance-critical systems • Hands-on experience with GPU-accelerated computing—CUDA, TensorRT, or similar inference optimization toolchains • Familiarity with ML model architectures (transformers, CNNs) and the ability to reason about computational cost and memory footprint • Eligible to work in the United States • Experience with onboard software for autonomous vehicles, robotics, or IoT/edge devices • Deep knowledge of CUDA, TensorRT, model quantization, and kernel-level optimization • Experience with Bazel or similar build systems for complex codebases • Familiarity with real-time robotic systems • Experience profiling and optimizing full-system performance (CPU, GPU, memory, I/O) on embedded platforms • Comfort operating as an early team member—high ownership, low ego, fast iteration

🏖️ Benefits

• This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.