Robotics Engineering Intern - On-Site SF, Hands-On AI

Niantic Spatial; San Francisco (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

Niantic Spatial offers a robotics internship/co-op role focused on learning-based systems and physical hardware in San Francisco, CA. You’ll work hands-on to push robots toward autonomous operation in locomotion, navigation, and control, with rapid iteration informed by real-world feedback.

The position welcomes undergraduates, masters, and PhD students, or co-op participants. Term runs 12–16 weeks, on-site full-time, with relocation housing not included.

Qualifications

• Currently enrolled in (or recently graduated from) a BS/MS/PhD in a robotics or related field.
• Strong proficiency in Python and modern deep learning frameworks (PyTorch or JAX).
• Hands-on experience with simulation environments and physical robotic hardware.

Responsibilities

• Design, implement, and deploy learning-based systems on physical robotic hardware across locomotion, navigation, and control.
• Work across simulation environments and real hardware to close the sim-to-real gap.
• Debug hardware, calibrate sensors, and handle edge cases in real deployment.
• Evaluate trade-offs between classical robotics and learning-based methods and contribute to technical decisions.

Skills

Python

PyTorch

JAX

Robotics hardware

Education

BS/MS/PhD in Robotics/CS/EE/ME

Tools

Isaac Sim

MuJoCo

Job description

Niantic Spatial offers a robotics internship/co-op role focused on learning-based systems and physical hardware in San Francisco, CA. You’ll work hands-on to push robots toward autonomous operation in locomotion, navigation, and control, with rapid iteration informed by real-world feedback.

The position welcomes undergraduates, masters, and PhD students, or co-op participants. Term runs 12–16 weeks, on-site full-time, with relocation housing not included.