Simulation Engineer

Job not on LinkedIn

🕒 July 27

🏄 California – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Logo of Humble Robotics

Humble Robotics

11 - 50 employees

Founded 2026

📦 Logistics

🚗 Transport

🚘 Automotive

Logistics • Transport • Automotive

Humble Robotics is a technology company building the Humble Hauler — a purpose-built, cabless autonomous electric freight vehicle that combines tractor, trailer, and driver functionality into a single platform. The company emphasizes vision-first AI autonomy, dock-to-dock capability (including direct unloading at docks), predictive safety and redundant failsafe systems, and a full-service operating model with 24/7 remote operational support and charging. The Humble Hauler is positioned to lower per-mile costs through a lighter, electric design that increases hauling capacity, eliminates diesel dependency, and targets reliable, compliant large-scale logistics operations.

📋 Description

• Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models) • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience • Strong proficiency in Python (primary language of the simulation stack) • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains • Eligible to work in the United States

🏖️ Benefits

• 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.

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