Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Zoox's Simulation team needs to create high fidelity synthetic data for training and testing Autonomous Vehicle (AV) AI, as well as real-time sensor data for hardware-in-the-loop simulation to ensure the safety and performance of their autonomous driving technology in various cities.

Requirements

• Fluency in C++ and/or Python, as well as a strong understanding of data structures and algorithms
• Strong skills in mathematics, particularly linear algebra
• Experience with large-scale code projects
• Broad knowledge of Gaussian Splatting or Neural Radiance Fields
• Strong understanding of generative AI techniques including diffusion, GAN, and transformers
• Experience with game development or simulation frameworks used in robotics
• Experience with 3D game logic

Responsibilities

• extend our simulation pipeline to reproduce dynamic actors accurately in simulation
• research and evaluate various reconstruction algorithms and integrate the most promising of them into our simulation framework
• develop and improve models that realistically simulate the behavior of other road agents like pedestrians and vehicles
• leverage software engineering and machine learning skills to ensure these simulated agents exhibit a wide range of plausible and representative human behaviors
• help create high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation
• develop 3D ML models and training datasets for 3D sensor simulation using modern machine learning architectures
• help create agentic AI systems capable of generating novel scenarios for validating the safety and performance of Zoox's autonomous driving technology

Other

• Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
• Must be returning to school to continue your education upon completing this internship
• Good academic standing
• Able to commit to a 12-week internship beginning in May or June of 2026.
• At least one previous industry internship, co-op, or project completed in a relevant area