Humble Robotics Logo

Humble Robotics

Software Engineer, Autonomous Systems

Reposted 6 Days Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Build and optimize real-time on-vehicle software for autonomous trucks, including data logging, cross-compilation pipelines, performance instrumentation, testing/CI, and integrations with ML, firmware, cloud, and fleet systems.
The summary above was generated by AI
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.

Additional Information

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact [email protected] to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

Similar Jobs

21 Days Ago
Hybrid
Palo Alto, CA, USA
145K-200K Annually
Senior level
145K-200K Annually
Senior level
Artificial Intelligence • Software
Develop and deploy cloud and edge software for command-and-control and autonomous systems. Integrate heterogeneous sensors and effectors, build real-time state estimation and AI/LLM-driven decision systems, and engineer scalable, reliable solutions for high-stakes operational and tactical missions.
Top Skills: Agentic AutonomyAi/MlC++CameraCloudCommand And Control (C2)Commercial LlmsEdgeEmbedded SystemsJavaLlmsPythonRadarReal-Time SystemsRfRoboticsRustSelf-Hosted LlmsSensor ProcessingSwarm Behaviors
21 Days Ago
Hybrid
Sunnyvale, CA, USA
99K-154K Annually
Entry level
99K-154K Annually
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and implement validation methods, tools, and production code to analyze autonomous vehicle behavior using simulation and test data. Build scalable testing products, generate data-driven insights for AI and systems engineers, and establish validation best practices across teams.
Top Skills: AIC++JupyterLookerPythonRobotics Simulation EnvironmentsSimulation TechnologiesSQL
23 Days Ago
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead integration of core system software with autonomous vehicle functions, drive vehicle bring-ups and fleet productization, debug sensors and OS/GPU stacks, develop HIL/SIL testing, and architect tooling from root-cause analysis to improve performance and stability.
Top Skills: AndroidCC++CameraComputer VisionGitGpuHigh-Speed StorageHilImage ProcessingLidarLinuxMultimediaPerforcePythonQnxRadarReal-Time Operating SystemsSil

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account