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Humble Robotics

Posted 2 months ago

Open

Software Engineer, Autonomous Systems

San FranciscoOn-siteFull-time

AI Summary

Software engineer to build autonomous vehicle software, focusing on on-vehicle systems and contributing across the stack from sensors to tooling and cloud integrations.

About this role

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.

Position Overview

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.

Key Responsibilities

  • 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

    • Minimum Qualifications

  • 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

    • Preferred Qualifications

  • 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

    • Compensation

    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.

    Skills

    BazelC++CICloud NetworkingCross-compilationData LoggingDebugging Latency-sensitive Concurrent SystemsDeploymentGPU-accelerated ComputeHermetic Build SystemsInter-process CommunicationIPCLinuxOn-vehicle Compute PlatformsPackagingPub-sub SystemsQuantizationReal-time SystemsRustSensor/compute Platform Bring-upSynchronization PrimitivesVehicle-to-cloud Data Pipelines

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