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Gritt

AI-powered field robotics for solar installs

Robotics Software - Perception ML

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Master of Science or Doctor of Philosophy degree in robotics, vision, computer science, mechanical engineering, electrical engineering, or another engineering discipline, or equivalent experience.
  • At least 4 years of hands-on experience developing perception solutions for robotics applications such as manipulation and navigation.
  • Experience with one or more of detection, segmentation, pose estimation, tracking, 3D reconstruction, world models, and vision-language models.
  • Experience with synthetic data pipelines and robotics simulation infrastructure, such as Isaac Sim, Gazebo, Blender, or Unity.
  • Extensive experience with Python and common machine learning frameworks such as PyTorch.
  • Ability to take ownership of tasks with light supervision.
  • Excellent problem-solving skills.
  • Legal authorization to work in the United States.

Responsibilities

  • Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.
  • Help drive the technical approach, with particular focus on real-world deployments.
  • Research and develop techniques around 3D scene understanding, detection, segmentation, pose, and world or video models.
  • Develop robust metrics to establish the performance of large vision models.
  • Work with multimodal data, including cameras, LIDAR, and tactile sensors.
  • Develop and improve real and synthetic data pipelines for challenging perception problems.
  • Build scalable training and validation infrastructure.
  • Collaborate with other teams in the company.

About the Company

Gritt

AI-powered field robotics for solar installs

Gritt uses AI models running on off-the-shelf vehicles and robotic arms to automate outdoor solar installations, starting with unloading, carrying, and placing panels with sub-millimeter precision. It replaces proprietary robots with general-purpose hardware guided by AI to raise install rates from about 800 to 3,000–4,000 panels per day. The company differentiates itself by using common equipment and AI Rather than custom robots, serving large U.S. power-construction firms and planning to add fastening, drilling, rack building, and rebar tying. Its goal is to speed up solar deployment by automating more outdoor construction tasks across utility-scale projects.

Company size
11-50
Company stage
Series A
Total funding
$38.9M
Headquarters
Belmont, CA
Founded
2023

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