At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability.
Key Responsibilities
We seek passionate Software Engineers with strong fundamentals in software development practices and who are experts in C/C++ and Matlab/Simulink languages in production-oriented environments. The ideal candidate has a solid background in Control and Optimization and is a highly experienced software developer passionate about enabling the world's first safe, reliable & efficient network of autonomous vehicles. You will partner with the research and software engineers to design, develop, test, and validate our autonomous fleet's AV control and optimization features.
This role is onsite 5 days a week at our Santa Clara, CA office!
Design, implement, integrate, and support real-time mission-critical software for Gatik’s autonomy stack.
Work with the research engineers to develop maintainable, testable, and robust software designs.
Work with the Control team to develop, design, and implement the control and optimization methods in simulation and through in-vehicle testing.
Support rapid prototyping of new methodologies via SiL and HiL.
Participate in tuning, calibration, and in-vehicle testing.
Participate in the visualization and post-processing of test data.
Collaborate with planning, localization, dbw, and testing teams for efficient, secure, and scalable software integration
Requirements
MSc or PhD in Mechanical/Electrical Engineering, Robotics, or Computer Science with a background in controls and optimization.
Deep understanding of optimal control, MPC, and Kalman filtering.
5+ years of production-level experience in C++/C (high and low level coding) and Matlab/Simulink.
Experience using optimization techniques and tools/solvers to create robust and performant controllers.
Solid backgrounds in math and linear algebra, and vehicle dynamics modeling and controls.
2+ years of experience in the AV/ADAS industries.
Experience using source control, containerization, bash scripting, ROS2, CAN, Python, and Linux.
Familiar with dSPACE and vehicle dynamic modeling toolchains.
Familiar with SiL/HiL setup and automotive-grade simulation tools such as TruckSim and IPG TruckMaker.