About this Custom Software Engineer role at Accenture
Accenture · Onsite · Bengaluru
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Automotive ECU Software
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required
Summary:
As an ADAS System Engineering / Validation Engineer, you will be responsible for analyzing ADAS system requirements, creating test scenarios, developing validation strategies, and executing test cases on HIL, SIL, simulation, and vehicle-level environments. Your typical day will involve working with system architects, feature owners, software teams, test teams, and validation stakeholders to ensure ADAS features meet functional, safety, performance, and quality expectations.
You will be involved in ADAS feature validation across functions such as Adaptive Cruise Control, Lane Keep Assist, Automatic Emergency Braking, Forward Collision Warning, Blind Spot Detection, Traffic Sign Recognition, Park Assist, Driver Monitoring, and other safety-critical driving assistance features. The role requires strong understanding of ADAS features, vehicle communication protocols, HIL test benches, test automation, defect debugging, and scenario-based validation methodologies
Roles & Responsibilities:
1. Analyze ADAS system requirements and derive validation scope, test scenarios, and test cases.
2. Create and execute HIL-based validation for ADAS ECUs and domain controllers.
3. Validate ADAS functions such as ACC, AEB, LKA, LDW, FCW, BSD, TSR, and Park Assist.
4. Develop and execute automated test scripts using CANoe, CAPL, Python, MATLAB, or equivalent tools.
5. Perform functional, integration, regression, fault-injection, and robustness testing.
6. Simulate vehicle, sensor, and environmental conditions in HIL environments.
7. Validate communication protocols including CAN, LIN, Ethernet, SOME/IP, and UDS Diagnostics.
8. Analyze test results, network traces, logs, and diagnostic data to identify defects.
9. Support defect triage, root cause analysis, and issue resolution with development teams.
10. Ensure traceability between requirements, test cases, execution results, and defects.
11. Prepare validation reports, test documentation, and release evidence.
12. Support ASPICE-compliant verification and validation processes.
13. Ensure compliance with Functional Safety (ISO 26262), SOTIF (ISO 21448), and Cybersecurity requirements.
14. Collaborate with system, software, calibration, and vehicle validation teams.
15. Participate in Agile/Scrum ceremonies, design reviews, and technical discussions
Professional & Technical Skills:
1. Strong experience in ADAS System Engineering, Validation, and Verification.
2. Hands-on experience in HIL test scenario creation and execution.
3. Experience with dSPACE, Vector VT System, ETAS LABCAR, NI HIL, or similar platforms.
4. Proficiency in CANoe, CANalyzer, CANape, vTESTstudio, ControlDesk, and AutomationDesk.
5. Strong knowledge of CAN, LIN, FlexRay, Automotive Ethernet, SOME/IP, and UDS.
6. Understanding of ADAS sensors including Camera, Radar, LiDAR, Ultrasonic, and Sensor Fusion.
7. Experience validating ADAS features such as ACC, AEB, FCW, LKA, LDW, BSD, and TSR.
8. Knowledge of test automation using CAPL, Python, MATLAB, or equivalent frameworks.
9. Familiarity with MATLAB/Simulink, IPG CarMaker, CARLA, PreScan, or VTD.
10. Experience with requirement and defect management tools such as DOORS, Polarion, Jira, or Azure DevOps.
11. Understanding of ASPICE V&V processes and automotive V-model development.
12. Knowledge of ISO 26262 Functional Safety and ISO 21448 SOTIF.
13. Basic understanding of ISO 21434 Cybersecurity requirements.
14. Strong debugging, analytical, and problem-solving skills.
15. Excellent communication and stakeholder management skills.
Additional Information:
1. Minimum 15-21 years of experience in Automotive ADAS Validation, ECU Testing, or System Engineering.
2. Hands-on experience in HIL validation, test scenario development, and automated test execution is mandatory.
3. Experience with ADAS features, vehicle communication protocols, diagnostics, and HIL platforms is highly preferred.
4. Exposure to dSPACE, Vector, ETAS, MATLAB/Simulink, CarMaker, CARLA, or similar ecosystems is desirable.
5. Knowledge of ASPICE, ISO 26262, ISO 21448 (SOTIF), and Automotive Validation Processes is preferred.
6. Experience working with OEMs, Tier-1 suppliers, and global engineering teams is an advantage.
7. Experience in Agile/Scrum development environments is preferred.
8. A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required.
A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Automotive ECU Software
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required
Summary:
As an ADAS System Engineering / Validation Engineer, you will be responsible for analyzing ADAS system requirements, creating test scenarios, developing validation strategies, and executing test cases on HIL, SIL, simulation, and vehicle-level environments. Your typical day will involve working with system architects, feature owners, software teams, test teams, and validation stakeholders to ensure ADAS features meet functional, safety, performance, and quality expectations.
You will be involved in ADAS feature validation across functions such as Adaptive Cruise Control, Lane Keep Assist, Automatic Emergency Braking, Forward Collision Warning, Blind Spot Detection, Traffic Sign Recognition, Park Assist, Driver Monitoring, and other safety-critical driving assistance features. The role requires strong understanding of ADAS features, vehicle communication protocols, HIL test benches, test automation, defect debugging, and scenario-based validation methodologies
Roles & Responsibilities:
1. Analyze ADAS system requirements and derive validation scope, test scenarios, and test cases.
2. Create and execute HIL-based validation for ADAS ECUs and domain controllers.
3. Validate ADAS functions such as ACC, AEB, LKA, LDW, FCW, BSD, TSR, and Park Assist.
4. Develop and execute automated test scripts using CANoe, CAPL, Python, MATLAB, or equivalent tools.
5. Perform functional, integration, regression, fault-injection, and robustness testing.
6. Simulate vehicle, sensor, and environmental conditions in HIL environments.
7. Validate communication protocols including CAN, LIN, Ethernet, SOME/IP, and UDS Diagnostics.
8. Analyze test results, network traces, logs, and diagnostic data to identify defects.
9. Support defect triage, root cause analysis, and issue resolution with development teams.
10. Ensure traceability between requirements, test cases, execution results, and defects.
11. Prepare validation reports, test documentation, and release evidence.
12. Support ASPICE-compliant verification and validation processes.
13. Ensure compliance with Functional Safety (ISO 26262), SOTIF (ISO 21448), and Cybersecurity requirements.
14. Collaborate with system, software, calibration, and vehicle validation teams.
15. Participate in Agile/Scrum ceremonies, design reviews, and technical discussions
Professional & Technical Skills:
1. Strong experience in ADAS System Engineering, Validation, and Verification.
2. Hands-on experience in HIL test scenario creation and execution.
3. Experience with dSPACE, Vector VT System, ETAS LABCAR, NI HIL, or similar platforms.
4. Proficiency in CANoe, CANalyzer, CANape, vTESTstudio, ControlDesk, and AutomationDesk.
5. Strong knowledge of CAN, LIN, FlexRay, Automotive Ethernet, SOME/IP, and UDS.
6. Understanding of ADAS sensors including Camera, Radar, LiDAR, Ultrasonic, and Sensor Fusion.
7. Experience validating ADAS features such as ACC, AEB, FCW, LKA, LDW, BSD, and TSR.
8. Knowledge of test automation using CAPL, Python, MATLAB, or equivalent frameworks.
9. Familiarity with MATLAB/Simulink, IPG CarMaker, CARLA, PreScan, or VTD.
10. Experience with requirement and defect management tools such as DOORS, Polarion, Jira, or Azure DevOps.
11. Understanding of ASPICE V&V processes and automotive V-model development.
12. Knowledge of ISO 26262 Functional Safety and ISO 21448 SOTIF.
13. Basic understanding of ISO 21434 Cybersecurity requirements.
14. Strong debugging, analytical, and problem-solving skills.
15. Excellent communication and stakeholder management skills.
Additional Information:
1. Minimum 15-21 years of experience in Automotive ADAS Validation, ECU Testing, or System Engineering.
2. Hands-on experience in HIL validation, test scenario development, and automated test execution is mandatory.
3. Experience with ADAS features, vehicle communication protocols, diagnostics, and HIL platforms is highly preferred.
4. Exposure to dSPACE, Vector, ETAS, MATLAB/Simulink, CarMaker, CARLA, or similar ecosystems is desirable.
5. Knowledge of ASPICE, ISO 26262, ISO 21448 (SOTIF), and Automotive Validation Processes is preferred.
6. Experience working with OEMs, Tier-1 suppliers, and global engineering teams is an advantage.
7. Experience in Agile/Scrum development environments is preferred.
8. A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required.
A Bachelors or Masters degree in Electrical Engineering Electronics Communication Automotive Engineering Mechatronics Computer Science Instrumentation or equivalent is required
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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