Make everywhere within your walking distance
We believe that walking should be an efficient alternative to owning a car, biking, or taking public transport, everywhere for everyone.
Nimbus Robotics are building robotic shoes to enable commuters walking faster without extra efforts. By strapping our bionic shoes over your everyday shoes, you can make walking a mile take half of the time.
User controls the speed of shoes by their own gaits as our onboard AI detects user's current gait in real-time. The user experience is similar to walking on the moving walkway - the shoes adapt to your walking speed thereby making them a natural extension of your legs.
Each shoe weighs as much as a hiking boot.
Unlike bikes which can be dangerous and are theft prone, our shoes are safe enough to be used on sidewalks and small enough to be carried in your backpack.
Interested in becoming our beta user?
We are recruiting full-time, part-time and interns in the following areas.
You will work with industrial designer to design plastic, metal and composite parts for the product.
You will perform detailed CAD design, generate manufacturing documentation, and manage manufacturing of components with our overseas manufacture partner.
You will create quality test documentation and design test fixtures with our overseas vendors through the entire manufacturing process.
Solid understand in mechanical engineering fundamentals.
Highly proficient in mechanical CAD including FEA (Solidworks preferred)
Have worked closely with industrial designers
Understanding of a variety of manufacturing processes.
Strong attention to details and have passion for doing excellent work with ambiguous requirements.
Experience in working with overseas vendors is a plus.
You will specify, design and implement firmware components of Nimbus Robotics Shoes.
You will implement key protocol, signal processing and numerical algorithms with very tight schedule and energy budgets.
You will select microcontrollers, define power management strategies, and review schematics with electrical engineers.
You will implement machine learning algorithm onto the embedded system.
Solid experience in C or C++ for embedded systems, compilers.
Direct experience with communication protocols including I2C, SPI, UART and CAN.
Significant experience with memory constrained micro-controller system.
Solid board bring-up and debugging skills.
Experience in MCU and brushless motor control solution is a plus.
Self-motivation, strong communication and teamwork skills
You will develop the gait control algorithm by applying machine learning, sensor fusion and bipedal locomotion knowledge.
You will develop control strategies for various poses, implement and evaluate your algorithm in the simulation and validate it onto the real-world product.
Develop production quality code and own your algorithms from design to production.
Create process and tools for conceptualization, simulation and validation of the control system.
MS or PhD in Computer Science, Robotics, Mechanical Engineer plus at least 2 years’ experience in bipedal walking robotics
Forward and Inverse Kinematics and Dynamics
Sensor fusion and state estimation
Demonstrated excellence in real-time control and processing using C and C++
Develop simple model for complex systems
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
Code control and revision tracking
4620 Henry Street
Pittsburgh, PA 15213