Internship 2026 Robotics Testing: Sim to Real Gap

We are seeking a motivated intern to characterize and improve simulation fidelity for our autonomous excavator platform. Over 10-12 weeks, you'll systematically identify gaps between simulated and real-world behavior, then leverage targeted improvements to our physics models to close those gaps. This role offers hands-on experience bridging the theory-to-practice divide in safety-critical robotics systems.

You will work closely with our Simulation and Robotics Platform team to assess how well our simulation predicts actual excavator dynamics and performance. Starting with structured on-robot testing, you'll characterize the sim-to-real gap across different operating conditions and configurations. You'll then mine operational data and design targeted data collection campaigns. Finally, you'll work with our simulation and ML engineers to improve the sim model and validate that your changes meaningfully narrow the gap between simulation and reality.

Requirements

We're looking for students who are excited about robotics simulation and validation, with strong fundamentals in dynamics, modeling, and data analysis.

Required:

• Currently pursuing a BS, MS or PhD in Mechanical Engineering, Robotics, or related technical field.

• Coursework in dynamics, controls, or robotics

• Experience with Python for data analysis, scripting and automation

• Ability to work full-time in our San Francisco office during summer 2026 (June-August)

• Strong documentation and communication skills

Preferred:

• Familiarity with vehicle dynamics, stability analysis, or simulation

• Experience with system identification or parameter estimation techniques

• Background with sensor systems (IMUs, encoders, GNSS)

• Understanding of hydraulic systems or heavy equipment dynamics

• Prior internship or project experience with physical robotic systems

Ways to Stand Out:

• Hands-on experience with robotics hardware through project teams, research labs, or prior internships

• Track record of leading technical projects from concept to validation

• Experience correlating simulation results with real-world data