Staff Autonomy Engineer (MHE Vision)

TL;DR

Staff Autonomy Engineer (MHE Vision): Own the core autonomy software stack for a vision-powered warehouse platform, building perception, localization, and inventory scanning pipelines on vehicle-mounted embedded compute with an accent on real-world robustness. Focus on designing and implementing detection/localization algorithms under noisy, dynamic conditions and on reliable scan triggering, location mapping, and cloud data handoff.

Location: Open to Remote (USA); Pittsburgh, PA

Company

hirify.global builds a vision-powered warehouse intelligence platform using autonomous drones and existing material-handling equipment.

What you will do

• Own the autonomy software stack for MHE Vision, including perception, localization, and inventory scanning pipelines running on vehicle-mounted embedded compute.
• Drive product autonomy stack architecture as the system scales to more vehicle types, facility layouts, and customer configurations.
• Document existing systems, plan future revisions, and lead design improvements and testing.
• Design and implement algorithms to reliably detect, identify, and record inventory locations as forklifts and drones move through warehouse aisles under variable lighting, occlusion, and motion.
• Improve scan accuracy and coverage via algorithmic improvements, sensor integration, and tighter coordination with ML perception models.
• Build and maintain scan triggering, location mapping, and data handoff systems to the cloud platform; diagnose and resolve issues on deployed systems using logs and field observations.

Requirements

• 7+ years of software engineering experience, including 3+ years building autonomy, robotics, or perception systems that run on physical hardware in production.
• Strong C++ and Python experience for software running on embedded or resource-constrained compute platforms.
• Hands-on experience with computer vision pipelines for camera-based detection, localization, or tracking in real-world environments.
• Experience debugging deployed systems using log-based diagnosis and field iteration.
• Staff-level capability: set technical direction, make consequential architecture decisions, and take end-to-end ownership.

Nice to have

• Experience with ROS2 or similar robotics middleware in production.
• 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.

Culture & Benefits

• Work on autonomy software that runs on real systems in live warehouse deployments with real constraints.
• High technical ownership as a Staff-level individual contributor shaping accuracy and reliability of customer-critical inventory data.
• Close collaboration with hardware, field deployment, and ML teams to improve deployed performance.

Hiring process

• Interviews focused on autonomy/perception system design, real-world debugging, and end-to-end ownership.
• Technical evaluation of experience with embedded robotics and computer vision pipelines.