Vicarious aims to transform robotics by creating robots with human level performance on real-world manipulation tasks. We are passionate about changing the world with science and software, and we are looking for exceptional people to join us in that mission. 

Here you will join a tightly knit collective of engineer scientists committed to solving long-term problems. Our focus is the systematic integration of perception, concept learning, reasoning, and motor control, used to build robotic manipulation systems. As a member of the computer vision group at Vicarious, you will play a critical role in our efforts to use our technology to push the state of the art in robotic manipulation.

Your responsibilities

• Understanding the algorithms we’ve developed on the vision/learning side and bringing your experience and intuitions to bear on how best to apply them to manipulation tasks.
• Solving the computer vision-specific research and engineering problems that arise in the area of 3D reconstruction, structure-from-motion, and multi-view stereo.
• Developing and maintaining the software stack on the robotic platform.
• Building integrated solutions that apply our technology towards specific product verticals

Background/Experience

• PhD in a computer vision-related discipline or equivalent professional experience, preferably in the area of 3D reconstruction, structure-from-motion, or multi-view stereo.
• Strong publication record and/or industry experience in the above mentioned areas.
• Strong C++ and/or Python skills. Experience developing with OpenCV, TensorFlow, and PCL.

Desired personal qualities

• Integrity
• Ability to admit when wrong
• Altruism
• Fearlessness working outside your comfort zone
• Patience with others
• Described by others as the best researcher / engineer / thinker they know
• Intellectual breadth
• Sense of humor

Vicarious is proud to be an equal opportunity employer. We’re committed to fair hiring practices and a welcoming working environment. All candidates are considered for employment without regard to race, religion, ethnicity, age, gender, sexual identity or expression, medical condition, or socioeconomic status. We value our differences and we’re excited to learn what you can add to our team.