
Motor Control Algorithm Engineer
2 weeks ago
Job Description – Motor Control Algorithm Engineer (EV/HEV, MATLAB/FOC, ISO 26262)
Position Overview
We are looking for an experienced
Motor Control Algorithm Engineer
with deep expertise in
Field-Oriented Control (FOC)
and
Model-Based Design using MATLAB/Simulink
. The role focuses on developing and validating
traction motor control algorithms
for
Electric and Hybrid Electric Vehicles (EV/HEV)
, ensuring compliance with
automotive functional safety standards (ISO 26262)
.
Responsibilities
- Develop and optimize
motor control algorithms
(FOC, torque/speed control, regenerative braking strategies) for
PMSM, BLDC, and induction motors
used in EV/HEV powertrains. - Use
MATLAB/Simulink
and
Embedded Coder
for
model-based design (MBD)
, auto-code generation, and deployment to target ECUs. - Implement
Clarke/Park transforms, space vector modulation, current/torque observers, and PI/field-weakening controllers
. - Ensure algorithms meet
ISO 26262 functional safety requirements
(ASIL-level compliance). - Perform
HIL (Hardware-in-the-Loop) validation
and support SIL/MIL/PIL testing workflows. - Collaborate with hardware and system engineers on
inverter/motor interface requirements
. - Work on
efficiency optimization
, torque ripple minimization, and thermal management strategies for traction motors. - Contribute to
FMEA, safety concept, and DFMEA reviews
for control algorithms. - Support calibration, debugging, and validation during
vehicle integration testing
.
Qualifications
- Bachelor's or Master's degree in
Electrical Engineering, Power Electronics, Control Systems, or Automotive Engineering
. - PHD in motor control FOC algorithm system preferred
- Solid knowledge of
motor control theory
(FOC, sensor/sensorless control, observers, and estimators). - Strong proficiency in
MATLAB/Simulink
with
auto-code generation
workflows. - Hands-on experience in
motor drive systems for EV/HEV applications
. - Good understanding of
ISO 26262 functional safety processes
for control software. - Experience with
CAN, LIN, or Automotive Ethernet
for ECU communication. - Knowledge of
inverter hardware, current sensing, and PWM strategies
.
Preferred Qualifications
- Experience with
AUTOSAR (Classic/Adaptive)
and automotive-grade MCUs (NXP, Infineon, TI, ST). - Exposure to
battery management systems (BMS)
and energy optimization. - Familiarity with
dSPACE, Speedgoat, or OPAL-RT HIL platforms
. - Experience with
real-time operating systems (RTOS)
and
C/C++ programming
for embedded systems. - Strong background in
EV functional safety V&V
, including
ASIL decomposition, FTTI analysis, and safety monitoring
.
Soft Skills
- Strong problem-solving and analytical skills.
- Good communication and documentation abilities.
- Ability to work in a
cross-functional team
(hardware, firmware, calibration, vehicle testing). - Passion for
e-mobility, sustainability, and innovation in automotive drive systems
.
-
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