---
title: 'Behavior and Motion Planning Engineer at Humble Robotics'
canonical: 'https://feeny.ai/job/behavior-and-motion-planning-engineer-humble-robotics-san-francisco-y6181gp9w81n'
type: 'job'
last_seen: '2026-09-10'
---

# Behavior and Motion Planning Engineer at Humble Robotics

- **Company:** Humble Robotics
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-21
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/humble-robotics/2ec28360-6769-4f02-b320-2a26ceb92ab1

## 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 Behavior, Motion Planning, and Controls Engineer to design and optimize behavior, trajectory generation and control systems for an autonomous truck. You’ll own safety-critical systems and ensure reliable execution of complex maneuvers, working closely with the ML team to integrate real-time path outputs while enforcing system constraints and safety checks. This role spans embedded systems and diverse compute platforms, and offers a rare opportunity to connect cutting-edge ML with production autonomy on a small, high-ownership team.

## Key Responsibilities

- Design, implement, tune, and deploy real-time controllers for autonomous trucks, taking ownership from modeling through on-vehicle validation
- Develop and maintain vehicle dynamics models and perform system identification to support controller design and simulation fidelity
- Design and implement high level behavior and motion planning modules
- Build and improve estimation and sensor fusion pipelines for vehicle state (Kalman filters, EKF/UKF, etc.)
- Validate controllers through SIL/HIL testing, closed-loop simulation, and structured on-vehicle experiments
- Debug, analyze, and iterate on controllers in the field using vehicle logs and telemetry
- Collaborate with teams across ML autonomy, system software, hardware, and safety on interfaces, requirements, and integration
- Contribute to the controls codebase in Rust with a focus on safety, reliability, real-time performance, and maintainability
- Document design decisions, experiments, and tuning methodology clearly for the broader team

## Minimum Qualifications

- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
- Strong foundation in classical control theory: PID, LQR, state-space methods
- Industry experience developing real-time control systems deployed on physical hardware
- Strong proficiency in Rust and/or C++ for performance-critical systems
- Experience with estimation techniques (Kalman filters, complementary filters, or similar)
- Demonstrated ability to debug and tune controllers on real hardware
- Experience with ROS/ROS2/Autoware/Iceoryx or comparable robotics middleware
- Strong written and verbal technical communication
- Eligible to work in the United States

## Preferred Qualifications

- Background in nonlinear, robust, or adaptive control
- Experience with Model Predictive Control (MPC) and optimization tooling (QP solvers, CasADi, Acado, etc.)
- Experience with Bazel or similar build systems for complex codebases
- Working knowledge of vehicle dynamics like tire models, lateral/longitudinal dynamics, and load transfer
- 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 **legal@humblerobotics.ai** 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 Humble Robotics

## Company Overview
- **One-liner**: Humble Robotics develops fully autonomous, electric Class 8 haulers to decarbonize and lower the cost of commercial freight transportation.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2026
- **Founders**: Eyal Cohen

## Core Business
- Primary industry/industries: Autonomous vehicles, Robotics, Logistics, Freight transportation
- Target customers: Enterprise logistics providers, freight carriers, and global supply chain networks (B2B)
- Mission or purpose statement: "Decarbonizing freight transportation, the backbone of global supply chains but also a major contributor to greenhouse gases."

## Products & Services
- **[Humble Hauler]**: A fully autonomous, electric Class 8 hauler designed for dock-to-dock freight movement. It is cabless, features 360º visibility, and uses vision-first autonomy (vision-language-action models) on a low-cost, flexible hardware platform that supports multiple vehicle configurations.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: $24 million in total funding (Seed round)
- **Notable Investors/Partners**: Eclipse (lead investor), Energy Impact Partners. Backed by veteran industry advisors.
- **Growth Signals**: Founded in 2026 and already raised a $24M seed round; team of 26 employees; actively hiring for 13+ open roles in engineering and autonomy. Has launched initial pilots with leading logistics partners toward commercial deployment.

## Competitive Advantages
- **Purpose-built, cabless design**: Removing the front cab enables 360º visibility and lowers structural costs.
- **Vision-first autonomy (VLA models)**: Uses advanced physical AI that adapts to complex, real-world logistics scenarios.
- **Experienced team**: Hails from companies like Google, Uber, Apple, Tesla, and Rivian, with deep expertise in autonomy and trucking.
- **End-to-end focus**: Targeting a complete dock-to-dock solution, not just highway autonomy, differentiating from many autonomous trucking competitors.

## Strategic Focus
- Continue development of the autonomous hauler platform.
- Launch and scale initial pilot programs with logistics partners.
- Move toward early-stage manufacturing and broader commercial deployment.
- Grow the engineering team across autonomy, hardware, and software disciplines.

## Why Work Here
- **Team & Culture**: Described as a "fast-moving, close-knit team of AV industry veterans and innovative thinkers" with a "high responsibility, high reward" ethos. Emphasizes "fun, challenging problems" and "brilliant talent to learn from."
- **Work Model**: On-site in San Francisco. Flexible work schedules and "amazing benefits" are advertised. Office is located at the "center of AV innovation."
- **Engineering Culture**: 59% of the workforce is in technical roles. Actively recruiting for engineers in autonomy, simulation, embedded systems, vehicle systems, hardware validation, data engineering, and more. Works with a modern tech stack including Python, PyTorch, CUDA, Linux, Bazel, Terraform, and simulation tools.
- **Growth Opportunity**: Early-stage company tackling a massive challenge (decarbonizing freight), offering high ownership and impact from day one.

## Sources
1. [humblerobotics.ai - Company Page](https://humblerobotics.ai/company)
2. [humblerobotics.ai - Careers Page](https://humblerobotics.ai/careers)
3. [LinkedIn - Humble Robotics](https://linkedin.com/company/humblerobotics)
4. [Built In - Humble Robotics](https://builtin.com/company/humble-robotics)
5. [Lever - Humble Robotics Careers](https://jobs.lever.co/humble-robotics)

## Other roles at Humble Robotics

- [Humble Robotics - Marketing Lead](https://feeny.ai/job/humble-robotics-marketing-lead-humble-robotics-san-francisco-bhzdrxcvmxgs) — San Francisco, CA
- [Senior Sensor Engineer](https://feeny.ai/job/senior-sensor-engineer-humble-robotics-san-francisco-142yc9fdmfw8) — San Francisco, CA
- [Infrastructure Engineer, Vehicle Platform](https://feeny.ai/job/infrastructure-engineer-vehicle-platform-humble-robotics-san-francisco-sd0z655wwq48) — San Francisco, CA
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-humble-robotics-san-francisco-trj60yrr5b19) — San Francisco, CA
- [Supply Chain Manager](https://feeny.ai/job/supply-chain-manager-humble-robotics-san-francisco-91vwn4x3b24w) — San Francisco, CA
- [Calibration and Localization Engineer](https://feeny.ai/job/calibration-and-localization-engineer-humble-robotics-san-francisco-f5tt555t2bqn) — San Francisco, CA
- [Data Engineer](https://feeny.ai/job/data-engineer-humble-robotics-san-francisco-jgj3vwz9af3s) — San Francisco, CA
- [Simulation Engineer](https://feeny.ai/job/simulation-engineer-humble-robotics-san-francisco-fwxa4tw2hcb1) — San Francisco, CA
- [ML Infra Engineer](https://feeny.ai/job/ml-infra-engineer-humble-robotics-san-francisco-4ete3j9457qz) — San Francisco, CA
- [Senior/Staff Hardware Systems Engineer](https://feeny.ai/job/senior-staff-hardware-systems-engineer-humble-robotics-san-francisco-2qbny22e4brz) — San Francisco, CA