Staff Autonomy Engineer: Warehouse Robotics & Vision

Gather AI; Pittsburgh (Allegheny County); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Gather AI is hiring a Staff Autonomy Engineer (MHE Vision) to own the core autonomy software stack and lead perception, localization, and scanning pipelines on vehicle-mounted embedded compute in production warehouses.

You will work with hardware, field deployment, and ML teams to ensure reliable operation in noisy, dynamic environments and deliver accurate inventory data for customers.

Qualifications

• 7+ years of software engineering experience with at least 3 years building autonomy, robotics, or perception systems that run on physical hardware in production.
• Strong C++ and Python, with experience writing software that runs on embedded or resource-constrained compute platforms.
• Hands-on experience with computer vision pipelines including camera-based detection, localization, or tracking in real-world environments.
• Experience building and debugging software on deployed systems, including log-based diagnosis and field iteration.
• Comfort operating at Staff level: setting technical direction, making consequential architecture decisions, and taking end-to-end ownership of a system.

Responsibilities

• Own the autonomy software stack for Gather products, including perception, localization, and inventory scanning pipelines on embedded compute.
• Contribute to the architecture of the autonomy stack as it scales to more vehicle types and configurations.
• Plan future revisions and lead design improvements and testing.
• Collaborate with hardware and ML teams to diagnose and resolve deployed-system issues using log data.

Skills

C++

Python

Embedded systems

Computer vision

Robotics software

Tools

ROS2

Camera calibration tools

Job description

Gather AI is hiring a Staff Autonomy Engineer (MHE Vision) to own the core autonomy software stack and lead perception, localization, and scanning pipelines on vehicle-mounted embedded compute in production warehouses.

You will work with hardware, field deployment, and ML teams to ensure reliable operation in noisy, dynamic environments and deliver accurate inventory data for customers.