Infrastructure Engineer, Vehicle Platform

Posted 2 Days Ago
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San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Logistics • Robotics • Transportation
The Role
Design, build, and scale vehicle data-collection networking and infrastructure. Integrate software with onboard compute, sensors, and navigation. Build CI/CD, ensure performance, security, and operational excellence for an autonomous vehicle fleet.
Summary Generated by Built In
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 an infrastructure engineer to help design, build, and scale the systems that connect our autonomous vehicles to everything else we do. You'll own the path that moves massive volumes of sensor data off our trucks and into our platform, integrate our software layer with the compute and sensors running on the vehicles, and be an important voice in the technical and organizational decisions that shape our work. Help us build reliable, performant, and secure infrastructure that every team at Humble Robotics can rely on. It's fun here. We are doing cool stuff.


    The ideal candidate is a first-principles thinker who is comfortable being a broad generalist. Design and own systems end to end, and work on every layer of the stack to help make the software and model iteration loop as fast and efficient as possible. We're a small team, and your input, experience, and knowledge will play a critical role in shaping every system we build, operate, and depend on to achieve our mission.

Key Responsibilities

    • Build the data collection networking and infrastructure that offloads large volumes of sensor data reliably and at high throughput from our vehicles into our training platform

    • Collaborate with onboard and hardware teams to integrate our software layer with the compute, sensor, and navigation systems running on our autonomous vehicles

    • Partner with software and autonomy teams to translate their workflows into reliable infrastructure that accelerates everyone's work. Help teams iterate quickly and deploy software and models into the real world

    • Work closely with everyone at the company to create efficient workflows and maintain a high level of operational excellence for the vehicle fleet

    • Help every team member go fast, safely and smoothly

Minimum Qualifications

    • Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)

    • Expertise building and maintaining CI/CD pipelines and managing deployments

    • Expertise in OS, networking, and security fundamentals including Linux administration, system and application performance tuning, enterprise networking, and the practical application of cryptography

    • Comfortable reading, writing, and extending non-trivial code within a production robotics/AV codebase (not just scripting)

    • Eligible to work in the United States

Preferred Qualifications

    • Prior infrastructure experience at an early-stage startup

    • Experience with high performance campus networking

    • Experience working with embedded compute and robotics systems

    • Comfort operating as an early team member—high ownership, low ego, 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.

Skills Required

  • Experience with infrastructure-as-code and configuration management tools (Terraform and Ansible)
  • Expertise building and maintaining CI/CD pipelines and managing deployments
  • Expertise in OS, networking, and security fundamentals including Linux administration and system performance tuning
  • Practical application of cryptography and enterprise networking knowledge
  • Comfortable reading, writing, and extending non-trivial code within a production robotics/AV codebase
  • Eligible to work in the United States
  • Prior infrastructure experience at an early-stage startup
  • Experience with high performance campus networking
  • Experience working with embedded compute and robotics systems
  • Comfort operating as an early team member with high ownership and fast iteration
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The Company
29 Employees
Year Founded: 2026

What We Do

Humble Robotics develops autonomous, electric Class 8 haulers designed for efficient and cost-effective commercial freight transportation. Their purpose-built, cabless vehicles blend vision-language-action models with lightweight hardware on a universal platform. By reimagining ground transportation with advanced physical AI, the company aims to structurally lower freight costs, reduce emissions, and provide a complete dock-to-dock solution for global logistics networks.

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