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Shift Robotics Gait Control Engineer in Austin, Texas

We’re making the world a more walkable place. Through intuitive personal mobility, we make walking faster, more efficient, and more accessible to empower people to choose walking over sitting in traffic. By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet.

Help us advance the world’s fastest shoes by designing, prototyping, and testing reliable and innovative hardware. We want an engineer ready to push the boundaries and one who makes the impossible a reality. We are looking for a work ethic similar to an engineer in Formula One. You must deliver and iterate quickly. We are not here for mediocrity, we are here to create elegant engineering designs. Is it demanding? Sure, but it is also rewarding and fun.

While we embark on developing the next generation of Moonwalkers, we need to add to the Gait Control team, where we are looking for a person with real-world experience in developing a bipedal locomotion controller and an eye for detail. You will work with our mechanical team on the sensor and actuator packaging, the electronics team to balance performance and cost, and our software team to run your controller in the most efficient and reliable fashion.

We are covered in Wired (https://www.wired.com/video/watch/on-the-go-moonwalkers) , CNET (https://www.cnet.com/culture/fashion/worlds-fastest-shoes-vow-to-get-you-walking-as-quickly-as-you-run/) , Gizomodo (https://gizmodo.com/moonwalkers-shoes-increase-walking-speed-kickstarter-1849704064) , PCMag (https://www.pcmag.com/news/shift-robotics-used-ai-to-create-the-worlds-fastest-shoes) and many other tech press.

Responsibilities:

  • The Gait Control Engineer is a critical position and will be responsible for leading the development of the gait control algorithm by applying machine learning, sensor fusion and bipedal locomotion control.

  • You will prototype novel algorithms in simulation and evaluate them on the actual prototype.

  • You will develop control strategies for various poses and gait, implement and evaluate the control system onto the real-world machine.

  • You will solve complex problems through efficient models that run on low-cost embedded systems with limited computational resources.

  • You will act as a solid system expert in ensuring safe and intuitive response of Shift shoes at all times.

  • You will be responsible for determining how to best design for performance requirements and system safety. You will determine what is most important, potential problems that may arise and for developing designs and solutions to enhance performance and reception.

  • You will develop production-quality embedded code with the firmware team and own your algorithms from design to production.

Requirements

  • At least 2 years research and development experience in bipedal locomotion, actuated prosthetics, or humanoid robotics, and published papers in internationally recognized conference or journals.

  • Forward and Inverse Kinematics and Dynamics.

  • Model predictive control.

  • Expertise in control systems, state estimation, multibody dynamics, or optimization

  • Sensor fusion and state estimation.

  • Proficient with Matlab, Python or other prototyping language.

  • Demonstrated excellence in real-time control and processing using C and C++.

  • Familiar with Matlab Simulink or physical model simulation such as Mujuco.

  • Experience developing, debugging, and optimizing real-time controls on highly dynamic machines.

  • Strong intuition for physical movement in machines, and insight into the physics of motion.

  • Familiar with RTOS and Cortex based embedded solutions is a plus.

Benefits

  • Opportunities for participation in our Employee Options programs

  • 401K retirement plan

  • Excellent medical, dental, and vision insurance

  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays

  • Massive Growth Opportunities and a long-term career

  • Casual and comfortable work environment

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