Staff Engineer: Robot Learning & Embodied AI

Niantic; San Francisco (CA); Hybrid; USD 270,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Comprehensive benefits

Job summary

Niantic Spatial is seeking a Staff Engineer in Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. You will inform roadmaps, own technical requirements, and prototype improvements with a co-founder mindset.

You’ve trained and deployed embodied AI systems, diagnosed sim-to-real gaps, and driven practical, production-ready robotics software. This role emphasizes ownership, delivery, and customer impact in a fast-moving startup environment.

Qualifications

• Experience training, evaluating, and deploying robot policies in enterprise or government settings.
• Proficient in simulation for policy training or evaluation (NVIDIA Isaac/ MuJoCo).
• Hands-on with reinforcement learning and/or imitation learning, using PyTorch.

Responsibilities

• Sharpen the roadmap for real-to-sim product in Embodied AI.
• Own technical requirements and guide the team on real-to-sim stack design.
• Benchmark impact with reproducible evaluations for policy transfer.
• Build and ship critical features; ensure deliverables meet customer needs.
• Raise technical bar and deepen robotics deployment expertise.

Skills

Robot policies

Simulation for RL

Reinforcement learning

Imitation learning

PyTorch

Python

C++

Visual perception

3D scene

Production software

Education

Bachelor's degree

Tools

NVIDIA Isaac Sim

Isaac Lab

MuJoCo

Job description

Niantic Spatial is seeking a Staff Engineer in Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. You will inform roadmaps, own technical requirements, and prototype improvements with a co-founder mindset.

You’ve trained and deployed embodied AI systems, diagnosed sim-to-real gaps, and driven practical, production-ready robotics software. This role emphasizes ownership, delivery, and customer impact in a fast-moving startup environment.