
11 - 50 employees
Founded 2026
π¦ Logistics
π Transport
π Automotive
Logistics β’ Transport β’ Automotive
Humble Robotics is a technology company building the Humble Hauler β 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.
π₯ 19 minutes ago
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11 - 50 employees
Founded 2026
π¦ Logistics
π Transport
π Automotive
Logistics β’ Transport β’ Automotive
Humble Robotics is a technology company building the Humble Hauler β 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.
β’ Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation β’ Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models) β’ Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control β’ Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training β’ Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior
β’ BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related fieldβor equivalent industry experience β’ Strong proficiency in Python (primary language of the simulation stack) β’ Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains β’ Eligible to work in the United States
β’ 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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