Senior Robotics Engineer, Perception & Localization

Orchard; Seattle, San Francisco (WA, CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Orchard Robotics seeks a Senior Robotics Software Engineer to invent practical, robust AI-powered perception and localization solutions for tractor-mounted camera systems. You’ll join an early team in a fast-paced environment, contributing across software and hardware areas.

Expect ownership, close collaboration with leadership, and a focus on making farming more profitable and sustainable through advanced robotics and vision systems.

Qualifications

• Hands-on experience developing robotics software from the ground up.
• 4+ years of real-world industry experience in robotics, perception, or localization.
• Expertise in computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software.
• Willingness to take on multiple roles as the company grows.
• Comfort with fast-paced environments and high ownership over work.

Responsibilities

• Develop robotics software on tractor-mounted, AI-powered camera systems, including perception and localization algorithms.
• Implement intelligent systems to interpret terabytes of raw image data daily.
• Fuse sensor data (stereo depth, GNSS, etc.) to localize the camera system on a farm.
• Optimize code for fast edge computing performance (Python, C++).
• Be a generalist, supporting different parts of the software and hardware stack as needed.

Skills

Robotics software

Perception

Localization

Python

C++

Edge computing

Embedded systems

Jetson

Tools

NVIDIA Jetson

Job description

Orchard Robotics seeks a Senior Robotics Software Engineer to invent practical, robust AI-powered perception and localization solutions for tractor-mounted camera systems. You’ll join an early team in a fast-paced environment, contributing across software and hardware areas.

Expect ownership, close collaboration with leadership, and a focus on making farming more profitable and sustainable through advanced robotics and vision systems.