Lead Robotics AI Engineer

Gritt Robotics is building physical AI systems that automate the construction of renewable energy infrastructure — dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation.

We are looking for a Lead Robotics AI Engineer to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands-on, and ready to lead technical development in a high-impact, mission-driven startup.

What You’ll Do

• Design, develop, and deploy state-of-the-art AI systems for robotic manipulation and navigation

• Drive AI architecture decisions in perception, planning, and control

• Build and optimize simulation-driven training and validation pipelines

• Work across sensor modalities including vision, LIDAR, and tactile sensing

• Improve model performance in challenging outdoor conditions and on real hardware

• Optimize training and inference for GPU environments

• Collaborate with cross-functional engineering teams and grow into leadership roles

What We’re Looking For

• M.S. or Ph.D. in Robotics, Computer Vision, Machine Learning, or a related field — or equivalent experience

• 4+ years of hands-on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar)

• Deep expertise in computer vision, machine learning, deep learning, or reinforcement learning

• Familiarity with techniques like VLMs, deep RL, and imitation learning

• Proficient in Python and modern frameworks such as PyTorch

• Comfortable working autonomously and taking ownership in fast-paced environments

• Strong analytical, debugging, and problem-solving skills

• Must be legally authorized to work in the U.S.