The leading platform for autonomous systems. Backed by Bessemer.
About the role
You will work across classical computer vision, camera integration and validation, calibration and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security. If you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Degree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent practical experience
- Experience building computer vision systems, with exposure to resource constrained or embedded platforms
- Working knowledge of classical computer vision: feature detection and matching, optical flow, camera models and calibration, multiple view geometry
- Practical experience with cameras as hardware, not just as a source of frames. Sensor and lens behavior, exposure, timing and what goes wrong when a new module arrives
- Proficiency in C++ and Python, with real experience in OpenCV
- Evidence of taking a project from problem definition to something that actually ran on hardware, and comfort doing that in the field alongside pilots and real logs
More about this role
Overview
We are looking for a Computer Vision Engineer to help build and deploy perception systems that run onboard autonomous aerial platforms. This is not offline research. Our algorithms run in real time on embedded computers, in the air, in conditions we do not control.
You will work across classical computer vision, camera integration and validation, calibration and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security.
If you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you.
- Implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform.
- Integrate new camera modules onto our platforms and validate them against real requirements: image quality, timing, latency and behavior in the conditions we actually fly in.
- Build repeatable test and evaluation procedures so that camera and algorithm performance is...
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