About the role
Gritt is developing physical AI to automate the construction of large-scale infrastructure around the globe. Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure. The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is a Series A company backed by marquee VCs. Role: Robotics Software - Perception ML Location: SF Bay Area (in-person)
About
the role We’re looking for an experienced Perception ML Engineer 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 dynamic outdoor environments. You'll need to thrive in a fast-paced 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 perception ML systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI. What you’ll get to work on Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems. Help drive our technical approach, with particular focus on real-world deployments. Research and develop techniques around 3D scene understanding, detection, segmentation, pose and world/video models. Develop robust metrics to establish performance of large vision models. Work with multimodal data (e.g. cameras, LIDAR, tactile). Develop and improve real/synthetic data pipelines for challenging perception problems. Build scalable training and validation infrastructure. Collaborate with other teams in the company. 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 perception solutions for robotics applications like manipulation and navigation. Experience working on one or more of detection, segmentation, pose estimation, tracking, 3D reconstruction, world models and VLMs. Experience working with synthetic data pipelines and robotics simulation infrastructure (e.g. Isaac Sim, Gazebo, Blender, Unity). Extensive experience with Python and common ML 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.
