🔥 5 hours ago
Join a dynamic team as a Software Engineer, where you'll build impactful applications and systems in AI-powered healthcare, taking ownership of your projects.
Simulation Engineer
📅 Apr 21
PythonSimulation SystemsClosed-loop TestingSynthetic Data Generation
📜 Description
- Build and maintain Python pipelines and tools for closed-loop testing and synthetic data generation.
- Integrate neural rendering techniques into sensor simulation, including Gaussian splatting, NeRFs, and world models.
- Expand scenario libraries and benchmarks for evaluating perception, planning, and control.
- Develop scenario and agent behavior generation workflows to support model training.
- Collaborate with ML and autonomy engineers to measure and reduce sim-to-real gaps.
🛠️ 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
- 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
✨ Benefits
- Base salary
- Benefits
- Equity compensation
Full job description
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
Minimum Qualifications
Preferred Qualifications
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.
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
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