ADAS Integration Test Engineer
Listed on 2026-01-27
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Engineering
Systems Engineer, Electrical Engineering, Electronics Engineer
Overview
Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.
As part of our continued support to a major customer in the Automotive industry, we are seeking an experienced ADAS Integration Test & Calibration Engineer to support the delivery, validation, and optimisation of advanced driver assistance systems across vehicle platforms. This role focuses on software-centric and electrical system integration, diagnostics, and calibration, with limited emphasis on mechanical testing. The successful candidate will have strong experience in automotive electronics, in-vehicle networks, ADAS sensor technologies, and system-level validation processes.
The position requires an engineer who can operate across the V-Model, from requirements refinement through to test execution, analysis, and issue resolution.
- Plan, execute, and document ADAS system integration, test, and calibration activities across rigs, simulation environments, and vehicle platforms.
- Perform static and dynamic calibration procedures for camera, radar, LiDAR, and ultrasonic sensors using OEM-specified tools and alignment methods.
- Conduct system-level testing using CAN, LIN, Flex Ray, and Automotive Ethernet diagnostic environments (e.g., CANalyzer, CANoe, INCA, CRETA, PCAN).
- Analyse data logs, identify anomalies, support root cause investigations, and liaise with systems, software, and hardware engineering teams to drive fixes.
- Support software flashing, configuration, parameterisation, and validation of ECU functionalities and ADAS feature behaviours.
- Contribute to test automation and data analysis using scripting/programming (Python, CAPL, C, MATLAB, Simulink).
- Maintain accurate documentation of test procedures, calibration steps, defects, and vehicle-level integration outcomes.
- Provide feedback into the requirements and system definition process, helping refine system specifications based on delivery and testing outcomes.
- Collaborate with suppliers to support component integration, system validation, and calibration readiness.
- Support continuous improvement of test methods, tools, and integration workflows across software and electrical domains.
- Bachelor’s or Master’s degree in Electrical Engineering, Automotive Engineering, Electronic Engineering, Computer Science, or a related discipline.
- Demonstrated experience in ADAS system testing, calibration, or vehicle electrical integration.
- Valid UK driving licence, ideally with experience in structured road testing, proving ground testing, or controlled calibration drive cycles.
- Professional training or accreditations in ADAS calibration, FMEA, Failure Mode Avoidance, or requirements engineering are advantageous.
- Strong knowledge of electrical systems, low-voltage vehicle architectures, and in-vehicle networking (CAN, LIN, Flex Ray, Ethernet).
- Hands-on experience using automotive diagnostic and test tools (CANalyzer, CANoe, INCA, CRETA, PCAN Explorer).
- Proven capability in ADAS system testing, sensor data interpretation, and calibration (camera, radar, LiDAR, ultrasonic).
- Proficiency with scripting or programming for test automation and data analysis (Python, CAPL, C, MATLAB).
- Ability to interpret system requirements, derive test cases, and validate software functionality.
- Strong analytical and root-cause-analysis skills with attention to detail.
- Experience working with suppliers and managing system or component delivery activities.
- Clear technical communication, documentation, and cross-functional collaboration skills.
- Experience with Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), or model-based simulation environments (e.g., dSPACE, CANoe SIL, AVSimulation).
- Familiarity with MBSE approaches and tools.
- Exposure to VHDL/HDL or digital electronics design principles.
- Experience with system FMEA, Control Plans, or structured requirements management tools (e.g.,…
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