Senior Battery Controls Engineer

Canoo is looking for a Senior Battery Controls developer with solid experience in controls and calibration of battery systems and related topics, ideally with some automotive experience. In this position, you will be responsible for developing battery state estimation and control algorithms for next-generation battery management systems as part of a well-rounded team at an innovative, fast-paced automotive company. This position will work cross-functionally and interact with several teams, including the battery cell, thermal, design, software, hardware, and vehicle controls teams.

Responsibilities

Design, develop, and validate various BMS control and state estimation algorithms including SOC, SOH, SOT, SOE, Power Prediction, and Fast Charge Controls; Develop battery models using electrical and physics-based modeling approaches; Develop high-quality firmware for battery management systems; Lead troubleshooting and root cause analysis efforts to identify and resolve algorithm-related issues and implement corrective actions to improve system performance and reliability; Specify and develop the requirements related to the BMS controller; Document the algorithm development and testing results, and integrate the documentation within the relevant tools; Provide guidance on advanced technical topics related to battery controls; Develop and/or improve validation plans for the evaluation of battery controls software; Validate algorithm function and performance through MIL/SIL/HIL testing and in-vehicle; Provide feedback and assistance to other systems requiring battery controls support like powertrain controls development, or traction inverter development; Interact with vendors, suppliers, and customers as needed

Requirements

Master's degree in engineering, physics, or a related field; Proficient with modeling, simulation and validation using tools like Matlab/Simulink; Strong fundamental knowledge on lithium-ion battery chemistry, electrochemical and thermal processes, and aging mechanisms; Basic knowledge of embedded C and capability of converting an algorithm in efficient C-code that is compliant with automotive (e.g., MISRA) and company standards; Familiarity with common development stages and tools like model in the loop (MIL), software in the loop (SIL), hardware in the loop (HIL), and full system level testing

Nice to have

Master's degree or PhD-level experience related to battery algorithm controls: 3 years after a PhD or 5 years after a Masters; Strong knowledge of lithium-ion battery cell (LFP, NCA, and NMC) and pack design technologies; Experience modeling lithium-ion batteries with equivalent-circuit and physics-based methods; Proficiency in MATLAB/Simulink, Python, and similar tools for battery equivalent-circuit and physics-based modeling; Theoretical expertise in probability and statistics; Strong knowledge of battery cell testing techniques including GITT, HPPC, and EIS; Knowledge of digital observer and filter design and implementation; Solid theoretical foundation in adaptive filtering, digital signal processing, and control theory including classical, state-space, optimal, and digital controls; Basic knowledge of communication interfaces like CAN, SPI, I2C; Experience with debugging tools like CANape and CANalyzer; Good troubleshooting skills and understanding at the system level (electrical propulsion system including gearing, powertrain controls and battery system); Experience with IDE tools like CCS or Eclipse, software management systems like GitHub, software versioning tools like Git, and familiarity with software validation and release process; Functional safety related qualifications (ISO26262)

Benefits

Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone; Comprehensive Health Insurance; Equity Compensation; Flexible Paid Time Off; Casual workplace with an unbelievable feeling of energy