Software Engineer, Autonomous Systems

About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure. Progress has never felt so present.

We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stack—from sensors and inference to developer tooling and fleet-facing systems—working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight.

Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle

Help build and improve on-vehicle data logging and recording systems

Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components

Instrument, profile, and improve system performance end-to-end—from IPC latency to compute throughput to disk I/O

Write tests and support CI improvements to ensure system reliability

Contribute to integrations across on-vehicle, cloud, and fleet-facing systems—remote data pipelines, over-the-air updates, and connectivity

Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications

Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack

BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience

Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux

Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems

Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems

Eligible to work in the United States

Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems

Hands-on work with sensor integration

Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment)

Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems

Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines

Experience with Bazel or other hermetic build systems

Experience with cross-compilation, packaging, or deployment for Linux-based systems

Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools

Comfort working on a small team with high ownership, low ego, and fast iteration

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.

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