Description
We’re representing a vehicle controls software engineer who’s interested in joining an early or growth-stage startup.
Highlights
- Implemented longitudinal controls using MPC and cascaded PID. Model vehicle torque request to simplify the 2D calibration tables for throttle and brake maps.
- Defined and extracted key KPIs from the recorded data from vehicle test runs to be able to quickly compare a selected autonomous run to other similar runs. KPIs designed such that they quickly point to important events in terms of debugging motion planning and control algorithm performance.
- 15 radars, 3 IMUs, Night Vision camera connected to Linux PC using 10 separate CAN networks. SocketCAN based executables developed for reading/writing from/to multiple different vehicle sensors. Leveraged open-source libraries for programmatically accessing the CAN database file (.dbc) so that the same basic software can be easily configured for various sensors.
Education
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MS in Computer Engineering
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BS in Electronics
Technical Skills
C, C++, Python Matlab, Simulink ROS, Baidu Apollo Auto ISO 26262 – system and software development System definition, Hazard and Risk analysis, Requirements definition CAN, Ethernet, V2V, SPI, I2C OS: Embedded, Linux GitHub, SVN