Applied Scientist (Zurich Location)

Bostondynamicsaiinstitute in Zurich

Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Applied Scientists will work on research teams to help turn research into reality.  If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!


We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
    • Develop and implement new algorithms on robots.
    • Creatively apply state-of-the-art techniques from both in-house and laboratories around the world to solve real-world problems.
    • Promote quality and reliability through regular code reviews
    • BS, MS and PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field
    • 2+ years of experience designing and developing software applications using C++ or Python in production environments
    • Experience working with robots, machine learning, or other related applications
    • Experience with planning algorithms (A*, RRT, PRM, etc)
    • Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc)
    • Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc)
    • Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc)
    • Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc)
    • Experience with task planning (TAMP, STRIPS, MDPs, etc)
    • Experience with machine learning toolkits (PyTorch, TensorFlow, Scikit-learn, etc)
    • Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)
    • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)

      • These attributes are great to have but not required for our candidates.  Candidates who lack these should not be discouraged from applying.
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