- Location
- Bengaluru, BDC11A, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 15+ years
- Source
- Workday
Description
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 : Advanced Driver Assistance System
Minimum 15 year(s) of experience is required
Educational Qualification : BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline
Summary:
As a Senior Manager / Technical Lead in ADAS Validation and System Integration, you will lead cross-functional teams responsible for ADAS feature validation, performance evaluation, root cause analysis, scenario development, and toolchain automation. The role involves driving validation strategy across SIL, MIL, HIL, and vehicle-level testing while ensuring feature performance meets customer, NCAP, and regulatory requirements. The position requires strong technical leadership, stakeholder management, and extensive experience in ADAS data analysis and validation methodologies.
Roles & Responsibilities:
1. Lead end-to-end ADAS feature validation across MIL, SIL, HIL, and vehicle-level testing environments.
2. Develop and execute validation strategies for Active Safety features, including Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Adaptive Cruise Control (ACC), Blind Spot Detection, and other driver assistance systems.
3. Perform vehicle data analysis, root cause investigations, and performance assessments to identify issues and recommend feature improvements.
4. Develop validation plans, test scenarios, and performance evaluation frameworks aligned with customer requirements, NCAP protocols, NHTSA regulations, and UNECE standards.
5. Drive scenario-based testing, fault injection, and edge-case validation to evaluate system robustness and performance.
6. Lead the development of validation tools, data analytics frameworks, dashboards, and automation solutions using MATLAB, Python, VBA, and AI/ML techniques.
7. Lead and mentor validation, data analysis, and tool development teams, ensuring effective resource utilization, technical quality, and timely project delivery.
8. Collaborate with system engineering, software development, calibration, perception, and vehicle integration teams to resolve technical issues and improve ADAS performance.
9. Manage project planning, resource allocation, effort estimation, budgeting, delivery tracking, and stakeholder communication.
10. Support business development through presales activities, technical proposals, capability demonstrations, Statements of Work (SOWs), and identification of new business opportunities.
11. Present project status, validation results, performance metrics, technical risks, and recommendations to global customers and senior leadership.
12. Drive Agile execution and continuous improvement across validation and development activities.
13. Contribute to Software-Defined Vehicle (SDV) validation through scenario development, test automation, and data-driven performance assessment
Professional & Technical Skills:
1. Experience: 15–20 years of overall automotive industry experience, including at least 8 years in ADAS and Active Safety systems.
2. ADAS Validation: Strong expertise in feature validation, vehicle data analysis, root cause investigation, scenario-based testing, and performance evaluation.
3. Validation Methodologies: Hands-on experience with MIL, SIL, HIL, and vehicle-level testing.
4. Automotive Tools: Proficiency in CAN data analysis and tools such as CANoe, Vehicle Spy, INCA, dSPACE ControlDesk, CarMaker, CarSim, and the Applied Intuition toolchain.
5. Programming & Automation: Strong proficiency in MATLAB, Simulink, and Python, with exposure to VBA and AI/ML-based data processing and test automation.
6. Requirements Management: Experience with requirements analysis and management using IBM DOORS and Jama.
7. Functional Safety & Regulations: Understanding of ISO 26262, SOTIF (ISO 21448), NCAP protocols, NHTSA regulations, UNECE requirements, and global automotive safety standards.
8. ADAS Systems & Integration: Knowledge of sensor architectures, perception systems, sensor fusion, and vehicle system integration.
9. Project & Team Leadership: Proven experience in project planning, resource optimization, budgeting, estimation, team development, and stakeholder management.
10. Agile & Product Development: Experience with Agile methodologies, product ownership practices, and BDD-based testing.
11. SDV & Analytics Platforms: Exposure to SDV platform validation, Azure Databricks, Power BI, SharePoint dashboards, and data analytics platforms.
12. Customer & Business Management: Experience working with global OEMs, managing vehicle development programs, supporting presales activities, preparing technical proposals and SOWs, and participating in capability demonstrations.
13. Communication & Leadership: Excellent communication, technical presentation, analytical, and problem-solving skills, with the ability to engage global customers and senior stakeholders.
Additional Information:
- The candidate should have minimum 15 years of experience in Automotive ECU Software.
- This position is based at our Bengaluru office.
- A BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline is required.
BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline
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 : Advanced Driver Assistance System
Minimum 15 year(s) of experience is required
Educational Qualification : BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline
Summary:
As a Senior Manager / Technical Lead in ADAS Validation and System Integration, you will lead cross-functional teams responsible for ADAS feature validation, performance evaluation, root cause analysis, scenario development, and toolchain automation. The role involves driving validation strategy across SIL, MIL, HIL, and vehicle-level testing while ensuring feature performance meets customer, NCAP, and regulatory requirements. The position requires strong technical leadership, stakeholder management, and extensive experience in ADAS data analysis and validation methodologies.
Roles & Responsibilities:
1. Lead end-to-end ADAS feature validation across MIL, SIL, HIL, and vehicle-level testing environments.
2. Develop and execute validation strategies for Active Safety features, including Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Adaptive Cruise Control (ACC), Blind Spot Detection, and other driver assistance systems.
3. Perform vehicle data analysis, root cause investigations, and performance assessments to identify issues and recommend feature improvements.
4. Develop validation plans, test scenarios, and performance evaluation frameworks aligned with customer requirements, NCAP protocols, NHTSA regulations, and UNECE standards.
5. Drive scenario-based testing, fault injection, and edge-case validation to evaluate system robustness and performance.
6. Lead the development of validation tools, data analytics frameworks, dashboards, and automation solutions using MATLAB, Python, VBA, and AI/ML techniques.
7. Lead and mentor validation, data analysis, and tool development teams, ensuring effective resource utilization, technical quality, and timely project delivery.
8. Collaborate with system engineering, software development, calibration, perception, and vehicle integration teams to resolve technical issues and improve ADAS performance.
9. Manage project planning, resource allocation, effort estimation, budgeting, delivery tracking, and stakeholder communication.
10. Support business development through presales activities, technical proposals, capability demonstrations, Statements of Work (SOWs), and identification of new business opportunities.
11. Present project status, validation results, performance metrics, technical risks, and recommendations to global customers and senior leadership.
12. Drive Agile execution and continuous improvement across validation and development activities.
13. Contribute to Software-Defined Vehicle (SDV) validation through scenario development, test automation, and data-driven performance assessment
Professional & Technical Skills:
1. Experience: 15–20 years of overall automotive industry experience, including at least 8 years in ADAS and Active Safety systems.
2. ADAS Validation: Strong expertise in feature validation, vehicle data analysis, root cause investigation, scenario-based testing, and performance evaluation.
3. Validation Methodologies: Hands-on experience with MIL, SIL, HIL, and vehicle-level testing.
4. Automotive Tools: Proficiency in CAN data analysis and tools such as CANoe, Vehicle Spy, INCA, dSPACE ControlDesk, CarMaker, CarSim, and the Applied Intuition toolchain.
5. Programming & Automation: Strong proficiency in MATLAB, Simulink, and Python, with exposure to VBA and AI/ML-based data processing and test automation.
6. Requirements Management: Experience with requirements analysis and management using IBM DOORS and Jama.
7. Functional Safety & Regulations: Understanding of ISO 26262, SOTIF (ISO 21448), NCAP protocols, NHTSA regulations, UNECE requirements, and global automotive safety standards.
8. ADAS Systems & Integration: Knowledge of sensor architectures, perception systems, sensor fusion, and vehicle system integration.
9. Project & Team Leadership: Proven experience in project planning, resource optimization, budgeting, estimation, team development, and stakeholder management.
10. Agile & Product Development: Experience with Agile methodologies, product ownership practices, and BDD-based testing.
11. SDV & Analytics Platforms: Exposure to SDV platform validation, Azure Databricks, Power BI, SharePoint dashboards, and data analytics platforms.
12. Customer & Business Management: Experience working with global OEMs, managing vehicle development programs, supporting presales activities, preparing technical proposals and SOWs, and participating in capability demonstrations.
13. Communication & Leadership: Excellent communication, technical presentation, analytical, and problem-solving skills, with the ability to engage global customers and senior stakeholders.
Additional Information:
- The candidate should have minimum 15 years of experience in Automotive ECU Software.
- This position is based at our Bengaluru office.
- A BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline is required.
BE or BTech or ME or MTech in Mechanical Automotive Electronics Electrical or related Engineering discipline
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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills
PythonMATLABAzureDatabricksPower BIAgile