We are currently seeking a Senior Engineer, Battery Algorithms. This position requires an individual with a strong background in battery control and algorithms, modeling, and battery chemistries. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.

You Will:

Work in a dynamic, cross-functional team to advance our cutting-edge battery management features Contribute to our world-acclaimed battery product for mass-market passenger vehicles and energy products Design and develop high quality battery controls to ensure safety and performance of vehicle battery packs in real time Design and develop accurate and robust battery algorithms and models such as state of charge, state of energy, state of health to optimize vehicle performance and customer experience Collaborate with cross-functional teams such as controls, battery cells, embedded software, system engineering, vehicle integration teams to define requirements and perform integration testing Verify software using unit test and hardware-in-the-loop test framework Debug the hardware and software time critical issues utilizing debugging tools Support the Battery Software department with additional duties/tasks as needed.

You Bring:

5+ years of experience in developing battery controls and algorithms Knowledge of battery chemistries such as LFP and NMC Experience with battery management systems and EV powertrain Experienced with model-based software design and development tools Proficiency in MATLAB/Simulink and C/C++

Advantageous:

Knowledge of vehicle controls such as motor, onboard charger, and thermal systems Knowledge of electrochemistry and battery modeling Good understanding of automotive functional safety standards like ISO 26262 Knowledge of automotive communication protocols such as Automotive Ethernet and CAN Working knowledge of AUTOSAR

Education Requirements:

BS in Mechanical Engineering, Electrical Engineering, Computer Science, or other related fields, MS and PhD preferred