---
title: 'ML Software Engineer at Humble Robotics'
canonical: 'https://feeny.ai/job/ml-software-engineer-humble-robotics-san-francisco-fnjwekvxbtbb'
type: 'job'
last_seen: '2026-09-10'
---

# ML Software Engineer at Humble Robotics

- **Company:** Humble Robotics
- **Location:** San Francisco, CA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-11-05
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/humble-robotics/3aeb08a7-2164-464d-b3da-e84fa4463808

## Job description

## About us

We’re building the next generation of ground transportation with advanced physical AI to simplify the toughest challenges in modern freight. Our stealth team, founded by the engineers who scaled autonomous driving, is developing an entirely new vehicle platform. We move fast, stay tightly aligned between engineering and product, and focus on creating reliable, real-world autonomous systems.

## What You’ll Do

- Build the software backbone for autonomy-focused foundation models: design and ship multimodal data pipelines (ingest, validate, shard, package) and reproducible training/evaluation workflows (manifests, checkpoints, failure handling).
- Implement and iterate on LLM, VLM, and VLA architectures; own model code paths, input/tokenization, inference runners, and output heads for downstream consumers.
- Integrate and operate simulators for closed-loop evaluation; build tooling for metrics, visualization, and experiment management.
- Deliver production-grade serving and inference tooling for deterministic, low-latency operation on bench/mule and eventual vehicle deployments.
- Own systems from scratch: architecture → implementation → testing → documentation → iteration; raise the bar on code quality, reliability, and observability.

## What We’re Looking For

- Education & Experience: MS in CS/ML/Robotics or BS + ≥2 years building ML/data/evaluation systems
- Software engineering excellence: Strong Python fundamentals (data structures, testing, debugging, modular design) and a track record of shipping production-quality code/APIs and reliable automation.
- Pipelines → Training → Serving: Demonstrated experience building data/ML pipelines and evaluation tooling, and integrating training and inference using PyTorch, TensorFlow, or JAX.
- Datasets at scale: Dataset packaging, sharding, manifest formats, and integrity checks for large multimodal datasets.
- Performance & optimization: Practical work improving training/inference throughput and latency (e.g., mixed precision, efficient batching, model parallelism).
- MLOps & infrastructure: Cloud storage and training workflows, containerization, CI/CD, and experiment observability (tracking, logging, metrics).
- Team fit: Strong communication, collaborative with research and engineering partners, and a bias for ownership/independence in a small, fast-moving team.
- Nice to have: Prior work on perception, detection, or multimodal models.

## 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
- [Behavior and Motion Planning Engineer](https://feeny.ai/job/behavior-and-motion-planning-engineer-humble-robotics-san-francisco-y6181gp9w81n) — 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