C++, Computer Vision (CV), Effective communication skills, Machine learning techniques, Python Programming, ROS1
RightHand Robotics (RHR) is building a world-class team to solve the biggest problem in ecommerce logistics: how to fulfill orders, despite demand that’s growing at six times the rate of available labor. Our cutting-edge robotic picking systems manipulate hundreds of thousands of items -- it’s a software-driven, hardware-enabled technology that meets the increasing demands of e-commerce order fulfillment and other industries.
RightHand Robotics is seeking a robotics software engineer with a demonstrated interest in solving challenging path planning problems. This contributor will be an active member of our Vision & Planning Group. This team is responsible for developing and implementing state-of-the-art path planning and computer vision algorithms for our globally-deployed robotic systems. At any one time we are working on a wide variety of projects on topics from instance segmentation and collision avoidance, to data collection and analysis, to internal tool development. If you are passionate about vision or robotics, and if working hands-on with robots on a daily basis sounds exciting, we look forward to hearing from you!
You will:
You have:
Bonus:
We offer:
Our goal is to be a diverse workforce at all job levels. We don’t just accept diversity — we celebrate it, we support it, and we know it benefits our employees, our products, our partners, and our community. We encourage individuals to apply regardless of race, color, religion, sex, pregnancy status, national origin, age, marital status, sexual orientation, gender identity, gender expression, non-disqualifying physical or mental disability, and/or any other characteristics unrelated to merit. At RightHand Robotics, we are committed to creating an inclusive environment for all of our employees.
RightHand Robotics is a robotics solutions provider bringing to market fully integrated picking robots for online order fulfillment. These robots handle thousands of different items quickly, accurately, and automatically, using machine learning rather than manual data entry to build models of customers’ inventory. If you are interested in joining a fast-moving team creating robots to solve real problems, we’d love to hear from you!