Global Connect Technologies
Embedded Engineer
Location: Bay Area, CA
Employment Type: Full-Time
Position Overview: We are seeking a skilled Embedded Engineer with strong expertise in Hardware‑in‑the‑Loop (HIL) testing and Battery Management Systems (BMS). The ideal candidate will be responsible for developing, validating, and optimizing embedded control systems related to automotive or industrial battery applications. This role involves hands‑on work with HIL platforms, embedded firmware, diagnostics, and battery system integration.
Key Responsibilities:
Develop, validate, and troubleshoot embedded software for Battery Management Systems (BMS).
Plan, execute, and automate HIL test cases using tools such as dSPACE, NI, Vector, or equivalent systems.
Create test scripts, perform fault injection, and ensure BMS compliance with safety and performance requirements.
Analyze system behavior, debug issues, and implement corrective actions across embedded software and hardware.
Work closely with cross‑functional teams including systems engineering, hardware, validation, and controls.
Support integration testing for HV battery packs, modules, and EV subsystems.
Develop test documentation: test plans, procedures, reports, and traceability matrices.
Perform CAN/LIN communication analysis using tools such as CANoe, CANalyzer, or Vector tools.
Contribute to continuous improvement of testing frameworks, automation, and embedded processes.
Required Qualifications:
Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, Electronics, Mechatronics, or related field.
3–6+ years of experience in embedded systems development and/or validation.
Hands‑on experience with HIL testing (dSPACE, NI, Vector VT, ETAS LABCAR, etc.).
Strong understanding of Battery Management Systems, SOC/SOH estimation, cell balancing, thermal management, and HV safety.
Proficiency in embedded C/C++, control algorithms, and microcontroller‑based systems.
Experience with CAN communication, UDS diagnostics, and scripting languages (Python, CAPL, MATLAB/Simulink).
Preferred Qualifications:
Experience with EV powertrain, high‑voltage batteries, or automotive functional safety (ISO 26262).
Familiarity with real‑time operating systems (RTOS) and AUTOSAR environments.
Knowledge of automation frameworks and CI/CD for embedded testing.
Experience working with model‑based development (MBD).
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Employment Type: Full-Time
Position Overview: We are seeking a skilled Embedded Engineer with strong expertise in Hardware‑in‑the‑Loop (HIL) testing and Battery Management Systems (BMS). The ideal candidate will be responsible for developing, validating, and optimizing embedded control systems related to automotive or industrial battery applications. This role involves hands‑on work with HIL platforms, embedded firmware, diagnostics, and battery system integration.
Key Responsibilities:
Develop, validate, and troubleshoot embedded software for Battery Management Systems (BMS).
Plan, execute, and automate HIL test cases using tools such as dSPACE, NI, Vector, or equivalent systems.
Create test scripts, perform fault injection, and ensure BMS compliance with safety and performance requirements.
Analyze system behavior, debug issues, and implement corrective actions across embedded software and hardware.
Work closely with cross‑functional teams including systems engineering, hardware, validation, and controls.
Support integration testing for HV battery packs, modules, and EV subsystems.
Develop test documentation: test plans, procedures, reports, and traceability matrices.
Perform CAN/LIN communication analysis using tools such as CANoe, CANalyzer, or Vector tools.
Contribute to continuous improvement of testing frameworks, automation, and embedded processes.
Required Qualifications:
Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, Electronics, Mechatronics, or related field.
3–6+ years of experience in embedded systems development and/or validation.
Hands‑on experience with HIL testing (dSPACE, NI, Vector VT, ETAS LABCAR, etc.).
Strong understanding of Battery Management Systems, SOC/SOH estimation, cell balancing, thermal management, and HV safety.
Proficiency in embedded C/C++, control algorithms, and microcontroller‑based systems.
Experience with CAN communication, UDS diagnostics, and scripting languages (Python, CAPL, MATLAB/Simulink).
Preferred Qualifications:
Experience with EV powertrain, high‑voltage batteries, or automotive functional safety (ISO 26262).
Familiarity with real‑time operating systems (RTOS) and AUTOSAR environments.
Knowledge of automation frameworks and CI/CD for embedded testing.
Experience working with model‑based development (MBD).
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