Simulation Engineer (Robotics Autonomy & Synthetic Data)

Humble Robotics; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Humble Robotics is seeking a software engineer to join our simulation team in San Francisco, CA. You will work on building systems for closed-loop model testing and enhance our toolset with modern neural rendering techniques. A degree in Computer Science or related field is required, along with strong Python proficiency. The role emphasizes collaboration with engineers in machine learning and autonomy, along with developing synthetic data generation workflows. Competitive compensation package includes salary, benefits, and equity.

Qualifications

• Strong proficiency in Python, the primary language of the simulation stack.
• Experience working with simulation systems, ideally in robotics or autonomous vehicles.
• Eligible to work in the United States.

Responsibilities

• Build and maintain Python pipelines and tooling for closed-loop testing.
• Integrate neural rendering techniques into sensor simulation.
• Expand and maintain the scenario library for evaluation.

Skills

Proficiency in Python

Experience with simulation systems

Understanding of neural rendering techniques

Education

BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics

Job description

Humble Robotics is seeking a software engineer to join our simulation team in San Francisco, CA. You will work on building systems for closed-loop model testing and enhance our toolset with modern neural rendering techniques. A degree in Computer Science or related field is required, along with strong Python proficiency. The role emphasizes collaboration with engineers in machine learning and autonomy, along with developing synthetic data generation workflows. Competitive compensation package includes salary, benefits, and equity.