Simulation Engineer

About the role

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 Open to a range of experience levels

We’re looking for a software engineer to join our simulation team. You’ll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models.

We’re a small team early in the build. You’ll have real influence over both what we build and how we build it.

Key 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

Minimum Qualifications - 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

Preferred Qualifications - 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

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.