cmatlabstartupcanembedded softwareelectric vehiclessimulinkvector toolscontrol theorystateflowmodel based design
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-160к/год
$110к$130кмедиана$140к
По похожим ролям (50) ~ $130к/год
На СНГ рынке: $1.4к/мес ($1.4к - $1.6к)
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Задачи четко очерчены и связаны с системами коммерческих электромобилей, но работа в стартапе и периодические поездки добавляют неопределенности.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Controls Engineer, Vehicle Controls (EV): Developing, validating, and debugging supervisory control algorithms for medium-duty electric and hybrid vehicle platforms with an accent on model-based design, diagnostics, and vehicle integration. Focus on building Simulink/Stateflow models, executing MIL testing, analyzing CAN data, and resolving control issues found in testing and customer fleets.
Location: Garden Grove, California, United States; hands-on vehicle testing at test sites and customer locations, including occasional travel.
Salary: $120,000–$160,000 USD annually.
Company
hirify.global develops commercial electric vehicle and hybrid platforms for medium-duty vehicles.
What you will do
Develop, maintain, and improve MATLAB, Simulink, and Stateflow control algorithms for vehicle state management, charging, thermal management, drive modes, torque arbitration, energy management, diagnostics, and fault reactions.
Translate system requirements into software requirements, maintain traceability, and develop and execute model-in-the-loop test cases and test harnesses.
Build CI pipelines for model checks, code generation, and regression testing; generate production code and review generated C code with embedded software engineers.
Develop and integrate OBD/UDS diagnostic functions, including DTCs, fault detection and debounce, fault reactions, and DIDs; verify diagnostics with Vector tools.
Calibrate parameters and debug behavior on bench, HIL, and vehicles using CAN logs and Vector CANalyzer, CANape, and vSignalyzer.
Perform root-cause analysis on vehicle and fleet issues, support vehicle testing and integration, review models and modeling guidelines, and collaborate with systems, calibration, embedded software, and test engineers.
Requirements
2–5 years of experience developing automotive or vehicle control software using model-based design.
Strong hands-on proficiency with MATLAB, Simulink, and Stateflow for control algorithm development and debugging.
Experience applying PID control, LQR/optimal control, and Kalman filtering or state estimation to real systems.
Experience writing software requirements and developing and executing MIL test cases.
Working knowledge of C, including reading and debugging auto-generated or hand-written embedded code.
Experience with CAN communication, DBC files, and CAN log analysis using Vector CANalyzer, CANape, and/or vSignalyzer.
Experience calibrating control parameters on bench or vehicle, including CANape with XCP and A2L files.
Understanding of control systems fundamentals and vehicle systems such as powertrain, high-voltage battery, inverter/motor, or vehicle state management.
Experience with Git and structured software development processes; strong problem-solving, debugging, and communication skills.
Comfort working hands-on with vehicles and safely around high-voltage systems; a valid driver's license and willingness to travel occasionally are required.
Bachelor's degree in Electrical, Mechanical, Computer, Mechatronics, or Controls Engineering, or equivalent practical experience.
Nice to have
Experience with EV or hybrid supervisory controls, energy management, or powertrain controls.
Experience with SAE J1939, commercial vehicle networks, OBD, UDS, DTCs, DIDs, CDD, ODX/PDX, and Vector CANdelaStudio.
Familiarity with AUTOSAR and tools including Vector DaVinci, Simulink AUTOSAR Blockset, Embedded Coder, Simulink Test, Model Advisor, and Polyspace.
Experience with SIL/HIL testing using dSPACE, NI, or Vector VT System.
Experience building CI pipelines for model-based development with Jenkins, GitLab CI, or MATLAB CI/CD tools.
Familiarity with SAE J1772, CCS, ISO 15118, ISO 26262, ASPICE, requirements management tools, MATLAB scripting, Python, or CAPL.
Experience analyzing field or fleet data and resolving customer issues; a master's degree in Controls, Electrical, or Mechanical Engineering or a related field.
Culture & Benefits
Early-stage startup environment focused on commercial electric vehicles and hybrids.
Comprehensive health, dental, and vision coverage with 100% employee coverage.
Early-stage stock options and retirement savings with 401(k), HSA, and FSA.
Paid time off, parental leave, and an annual vacation bonus.
Wellness and fertility benefits, cell phone stipend, complimentary meals, and stocked kitchens.
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