Robotics AI Research Engineer
Gritt Robotics is developing physical AI to automate outdoor construction, starting with the construction of renewable energy infrastructure. The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is backed by top VCs who have previously funded Uber, Notion and Lyft.
About the role
We’re looking for an experienced robotics AI scientist to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in outdoor environments. You'll need to thrive in a fast-paced, dynamic startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying AI systems, and you're passionate about pushing the boundaries of what's possible in robotics with AI. We will expect you to grow with the company over time and take on additional leadership roles.
We offer competitive salaries, equity and health/vision/dental coverage, and the opportunity to work on a mission with tremendous climate impact.
What you’ll get to work on
Develop and deploy state-of-the-art physical AI models for robotics.
Help drive our technical approach, with particular focus on AI-driven architectures for perception, planning and control.
Build simulation-driven approaches for training/validating large AI models.
Work with multiple sensing modalities (e.g. cameras, LIDAR, tactile).
Develop and improve data pipelines, training and validation infrastructure.
Deploy AI software in challenging outdoor applications.
Optimize training and inference times/memory footprint on GPUs.
What we look for
M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
4+ years of hands-on experience developing AI-driven solutions for robotics applications like manipulation and navigation.
Extensive experience in computer vision, machine learning, deep learning, reinforcement learning or other relevant areas of AI (e.g., as evidenced by industry experience or publication record).
Experience with approaches like VLAs, deep RL, imitation learning etc.
Extensive experience with Python and common frameworks like PyTorch.
Should be comfortable taking ownership of tasks with light supervision.
Must have excellent problem-solving skills.
Legally authorized to work in the United States.