Project Engineer:
Design and implement real-time signal processing algorithms for State of Charge (SoC) estimation using Extended Kalman Filters (EKF) in C/C++, improving battery state estimation accuracy.
Optimize machine learning-based control algorithms to minimize ECU memory footprint, enabling high-performance logic deployment on cost-constrained automotive hardware. Collaborate with hardware engineering teams to integrate complex BMS firmware logic with high-voltage power electronics and battery cell monitoring systems.
Conducte advanced Hardware-in-the-Loop (HIL) testing of BMS firmware to identify edge-case diagnostic faults and eliminate Single Points of Failure (SPOF) in alignment with safety goals.
Primary worksite is Farmington Hills MI, but relocation possible.
Req: Master degree in Mechanical Engineering or Engineering Science or related with 5 months experience as Project Engineer or Test Engineer or Robotics Engineer or Control Engineer or Intern.
Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company, Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development, Projects, Requirements Analysis, Software Design, Software Implementation, Efficient Build, Release Process, and turnkey software V & V Services. We have more than 20+ years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment, connected vehicles, Cyber security, OTA, and Advanced Safety/ Body electronics.
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