Simulation Engineer

Summary

Humble Robotics is building an autonomous, zero-emissions hauler that leverages groundbreaking vision-based AI for logistics. They are seeking a Simulation Engineer to develop systems and tools for model testing and data generation, working closely with a small team to influence the build process.

Responsibilities

• 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

Skills

• 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
• Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
• Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
• Experience building benchmarks or evaluation frameworks used across a team
• Experience developing synthetic data pipelines that improved downstream model performance
• Familiarity with real-time robotic systems and their constraints on simulation fidelity
• Comfortable working on a small team with high ownership and fast iteration cycles

Qualifications

Must Haves

• 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

Nice to Haves

• Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
• Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
• Experience building benchmarks or evaluation frameworks used across a team
• Experience developing synthetic data pipelines that improved downstream model performance
• Familiarity with real-time robotic systems and their constraints on simulation fidelity
• Comfortable working on a small team with high ownership and fast iteration cycles