Gather AI
Staff Autonomy Engineer (MHE Vision)
Open to Remote (USA); Pittsburgh, PA · Staff+
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About the role
- This is a Staff-level individual contributor role with significant technical ownership.
- Your work will directly shape the accuracy and reliability of inventory data that customers depend on.
- MHE Vision turns forklifts and other material handling equipment into real-time inventory sensors, using onboard cameras and compute to scan locations and report inventory data as equipment moves through the facility.
Responsibilities
- Own the autonomy software stack for Gather products, including perception, localization, and inventory scanning pipelines running on vehicle-mounted embedded compute
- Document existing systems
- Contribute and lead to design improvements and testing
- Collaborate with hardware and field teams to diagnose and resolve issues on deployed systems, using log data and field observations to drive improvements
Requirements
- 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
- Comfort operating at Staff level: setting technical direction, making consequential architecture decisions, and taking end-to-end ownership of a system
Nice to have
- Experience with ROS2 or similar robotics middleware in a production context
- Background in warehouse, logistics, or industrial automation environments
- Familiarity with sensor fusion, calibration, or multi-camera systems
- Experience with SLAM, odometry, or other localization approaches on mobile platforms
Benefits
- Improve scan accuracy and coverage through algorithmic improvements, better sensor integration, and tighter coordination with the ML perception models
- Hands-on experience with computer vision pipelines including camera-based detection, localization, or tracking in real-world environments
Company info
- Are you ready to build the future of supply chain? At Gather AI, we're not just creating software
- we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
- If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
- About the Team
- At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence.
- Are you ready to build the future of supply chain?
- We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone.
- This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
- If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you.
- We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
- Our Autonomy team builds the software that makes Gather AI's MHE Vision and drone products work in live warehouse environments.
- It's a technically demanding product line operating at the intersection of embedded systems, computer vision, and large-scale warehouse deployments.
This listing is sourced directly from Gather AI's careers page and normalized into a canonical job model.