Software Engineer, Autonomous Systems

Humble Robotics; San Francisco (CA); On-site; Full time

Job summary

A leading technology company in California is seeking a software engineer to develop systems for autonomous vehicles. This role emphasizes software running on the vehicle, requiring proficiency in Rust or C++. Candidates should have experience with real-time systems, debugging, and Linux environments. The position is part of a dynamic team focused on innovative technologies in freight logistics. Competitive salary, benefits, and equity compensation are offered.

Qualifications

• Strong proficiency in Rust or C++ with experience shipping low-latency software.
• Familiarity with real-time scheduling and debugging latency-sensitive systems.
• Experience contributing to Linux systems software or closely related work.

Responsibilities

• Design, implement, and optimize software across the autonomy stack.
• Improve on-vehicle data logging and recording systems.
• Contribute to integrations across cloud and fleet-facing systems.

Skills

Proficiency in Rust

Proficiency in C++

Real-time scheduling

Inter-process communication

Debugging latency-sensitive systems

Education

BS or MS in Computer Science, Electrical Engineering, or Robotics

Tools

Linux

Bazel

Job description

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 [e-mail] 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.