Robotics Software - Perception ML Engineer
Mid-level ML Engineer specializing in perception systems for robotics, focusing on building AI models for autonomous construction equipment that interpret 3D sensor data in harsh outdoor environments.
Skills required
About this role
Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
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.
