Tipo de puesto
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Who We Are
We build highly intelligent robotic arms that automate tasks no human was born to do. With computer vision and machine intelligence, we make it easy for anyone to program tasks in a matter of hours instead of weeks, while our platform enables developers to build the next generation of robotic applications. We’re scrappy, we’re focused, and we’re out to change the face of robotics.
What You’ll Be Doing
We're looking for a lead computer vision engineer (visioneer? your call) to translate pixels to millimeters and help our robots understand the world around them. You’ll be building the architecture that lets our robots recognize features and geometry, measure distances, react to obstructions, and work side by side with people in industrial environments. You’ll collaborate frequently with the controls and motion planning teams to integrate visual feedback into our motion routines, and work with our mechatronics team to design a highly accurate camera system.
Please only apply for one role at a time! We will assess all your qualifications and contact you if we determine there is a role that is better suited to your skill set.
Nuts & Bolts
Own development of a highly accurate feature recognition, 3d reconstruction, and optical inspection pipeline
Work closely with controls and application engineers to expose data and integrate vision system into our robotic platform
Collaborate with hardware team on the design of vision sensor package and related systems
BS in Computer Science or related field, or equivalent practical experience
Experience implementing geometry-based methods in computer vision
Experience with robotics, ROS, Gazebo, OpenCV and/or PCL
Fluency in C / C++
Excellent written and spoken English
MS or PhD in Computer Vision, Robotics, or related field
Experience working with GPUs, particularly on embedded hardware
Experience with machine learning and classification, exposure to deep learning frameworks
Understanding of optics, lens design, multi-element lenses and lens selection
Extreme growth in an environment that demands the best work of your career
Once-in-a-lifetime chance to improve the lives of millions of people