3D Perception Engineer - Autonomy (Droid)

Atlanta, United StatesOn-site

Responsibilities

Own the design and implementation of cloud-side autonomy pipelines that directly support and scale our onboard perception stack.
Design and ship tools that predict deliverability , generate high-fidelity priors, and reduce the operational friction of onboarding new customers in new environments.
Train and deploy mid- to large-scale models for semantic segmentation, 3D geometry, and learned preference modeling.
Design evaluation and validation infrastructure to ensure models behave reliably in the field.
Lead architectural decisions, drive experimentation, and help the team push the limits of what’s possible with production-grade perception at scale. What You'll Bring

experience building and deploying deep learning-based perception systems, particularly in 3D geometry, semantic understanding , or mapping from remote sensing data .
Strong understanding of classical computer vision (e.g. camera calibration, epipolar geometry, structure-from-motion) and the ability to blend it with modern ML approaches. Hands-on
experience training, iterating on, and optimizing CNN and transformer architectures in production environments.
Familiarity with building training, data annotation, and evaluation pipelines—not just models.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible.
Our system strengthens supply chains, reduces congestion, and gives people time back.
The starting cash range for this role is $180,000 - $265,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role.