Humble Robotics

Autonomous, cabless EV haulers for freight

Mechanical Engineer

Design EngineeringConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

A Bachelor's degree in Mechanical Engineering or a related engineering discipline is required.
At least 2 years of relevant industry or internship experience is required.
Strong hands-on experience with a manual mill and lathe, laser cutter, and power tools such as drills and grinders is required.
Proficiency in computer-aided design is required; SolidWorks is preferred.
Familiarity with geometric dimensioning and tolerancing and tolerance stack-ups is required.
Experience designing for manufacturability and assembly is required.
Ability to build and test prototypes independently is required.
Familiarity with sheet metal, machining, and rapid prototyping methods such as 3D printing and computer numerical control is required.

Responsibilities

Design, prototype, and validate mechanical systems and components for autonomous trucking platforms.
Create detailed computer-aided design models and engineering drawings for fabrication and assembly.
Build, modify, and test hardware hands-on in the shop.
Collaborate with electrical, software, and systems engineers.
Support integration of sensors, compute hardware, and vehicle subsystems.
Conduct root cause analysis and implement design improvements.
Develop and execute bench and vehicle-level test plans.
Manage parts sourcing, fabrication vendors, and assembly processes.
Contribute to rapid iteration cycles and field deployments.

Desired Qualifications

Experience working on large vehicles or autonomous vehicles.
A basic understanding of electrical systems and sensor integration.
Experience with product lifecycle management or product data management systems.
Familiarity with finite element analysis or other simulation tools.
Experience supporting field testing or deployments.
Startup or small-team experience.

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

Own design, integration, and early validation of new mechanical hardware for large autonomous vehicles.

Key Responsibilities

Design, prototype, and validate mechanical systems and components for autonomous trucking platforms

Create detailed CAD models and engineering drawings for fabrication and assembly

Work hands-on in the shop to build, modify, and test hardware

Collaborate cross-functionally with electrical, software, and systems engineers

Support integration of sensors, compute hardware, and vehicle subsystems

Conduct root cause analysis and implement design improvements

Develop and execute test plans (bench and vehicle-level)

Manage parts sourcing, fabrication vendors, and assembly processes

Contribute to rapid iteration cycles and field deployments

Required Qualifications

Bachelor’s degree in Mechanical Engineering or related engineering discipline

2+ years of relevant industry or internship experience

Strong hands-on experience with shop tools, including:

Manual mill and lathe
Laser cutter
Power tools (drills, grinders, etc.)
Proficiency in CAD (SolidWorks preferred)
Familiarity with GD&T and tolerance stack-ups
Experience designing for manufacturability and assembly (DFM/DFA)
Ability to build and test prototypes independently
Strong problem-solving skills and attention to detail
Comfortable working in a fast-paced, ambiguous startup environment
Familiarity with sheet metal, machining, and rapid prototyping methods (3D printing, CNC, etc.)

Preferred Qualifications

Experience working on large vehicles, or autonomous vehicles
Basic understanding of electrical systems and sensor integration
Experience with PLM/PDM systems
Familiarity with FEA or other simulation tools
Experience supporting field testing or deployments
Startup or small-team experience

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.

About the Company

Humble Robotics

Autonomous, cabless EV haulers for freight

Humble Robotics builds fully autonomous, cabless, battery-electric Class 8 haulers designed to move freight dock-to-dock in warehouses, railyards, and seaports, starting with shipping-container moves. The trucks navigate using 360° cameras, LiDAR, and radar, and run vision-language-action models to drive themselves, with remote operational support as part of a full-service offering. Unlike many competitors, Humble leverages a cabless, lighter-weight design for better payload efficiency, and it brings together a team with experience from Tesla, Waymo, Cruise, Google, Rivian, Apple, Uber, and Waabi. The company aims to advance the autonomy stack, launch pilots, and begin early manufacturing to support eventual public-road deployment.

Company size: 11-50
Company stage: Seed
Total funding: $24M
Headquarters: San Francisco, CA
Founded: 2026

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