December 15, 2020
UW Formula Driverless team aims to develop an autonomous racing car. Our goal is to design for vehicle’s optimal performance at straight-line acceleration, skid pad and autocross event. Projects we offer include but not limit to: computer vision, SLAM, state estimation and dynamic control. Here are some positions and corresponding skillsets.
Computer Vision Researcher – Cone Detection
- The applicant develops a camera-based perception module that recognizes traffic cones as the track
- Proficiency in C/C++/Java or other programming
- Experience with machine learning/neural network
- Knowledge in real-time on-board computing and embedded system is a
Software Engineer – SLAM Algorithm
- The applicant understands SLAM and probability robotics
- Experience with ROS and C++ in Linux environment
- Experience with stereo camera and LiDAR is a
Hardware Engineer – Sensor Fusion
- Proficiency in STM32 and C/C++.
- Knowledge in filter algorithm (Kalman/EKF/Particle filter)
- Experience with IMU (inertial measurement unit) calibration is a
Control Engineer – Vehicle Dynamics
- Proficiency in control development (PID/LQR/MPC) in MATLAB
- Experience with C/C++ on micro-controller (STM32) preferred.
- Knowledge in vehicle dynamics is a
Control Engineer – Mechatronics
- The applicants will develop control system for vehicle actuation such as steering/braking mechanism.
- Knowledge in PID, micro-controller, sensors and actuators
Vehicle Integration Engineer – Hardware-In-Loop
- The applicant develops control strategies in MATLAB Simulink and validate them with HiL test (dSPACE/Speedgoat).
- Experience with CAN
- Knowledge in ISO26262 is a plus.
Please don’t hesitate to visit www.uwformula.com to learn about the team. Email Jing Lu (jinglu335@gmail.com) for more info about positions or driverless events in general.