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# software engineer

- **Company:** HUMBLE ROBOTICS COMPANY
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Systems Engineering, C++ (Programming Language), Software as a Service, Cloud Computing, Cloud Database, Software Debugging, Linux, Programming Tools, Memory Management, Firmware, Inter-Process Communication, Linux System Administration, Machine Learning, Real-Time Operating Systems, Cloud Services, Software Engineering, Software Systems, Value Engineering, Web Applications, Data Logging, Graphics Processing Unit (GPU), Real Time Systems, Mobile Robots, Safety Critical Systems, Reliability of Systems, Discretization, Information Technology, Low Latency, Build Tools, Data Management, Data Pipelines
- **Published:** October 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-autonomous-systems-san-francisco-ca--c440fe52-f0d2-49fc-9f88-5b73c3798297

## About the Role

* 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, Artificial Intelligence (AI), Audiovisual, C++ Programming Language, Cargo/Freight, Cloud Computing, Computer Firmware, Computer Science, Computer Systems, Control Engineering, Cost Control, Data Management, Debugging Skills, Electrical Engineering, GPU (Graphics Processing Unit), High Throughput, Input/Output, InterProcess Communication (IPC), Internet Application, Linux Operating System, Logistics, Memory Management, Performance Management, Production Support, Programming Tools, Robotics, Safety Systems, Software Engineering, Software as a Service (SaaS), Systems Engineering, Systems Reliability, Test Plan/Schedule, Truckload Freight, Value Engineering, Vehicle Fleets

## Description

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


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