Senior Lead Engineer - VES

• *Responsibilities \& Key Deliverables**

1\. Define and drive end\-to\-end validation strategy for ADAS features (AEB, ACC, LKA, Parking Assist, etc.)

2\. Lead validation activities across MIL, SIL, HIL, VIL, and Vehicle Testing

3\. Ensure compliance with ISO 26262, SOTIF (ISO 21448\), NCAP, and regulatory requirements

4\. Own validation planning, execution tracking, and defect management aligned to program timelines

5\. Establish and monitor KPIs: validation coverage, defect leakage, test efficiency

6\. Perform root cause analysis and drive issue resolution with cross\-functional teams

7\. Develop and implement test automation strategies to improve validation efficiency

8\. Collaborate with system, software, hardware, and supplier teams for integrated validation

9\. Drive risk\-based validation approach balancing safety, cost, and timeline constraints

10\. Mentor and lead a team of validation engineers, ensuring technical excellence and delivery

11\. Provide clear program status updates to leadership, highlighting risks and mitigation plans

12\. Support vehicle\-level validation and customer acceptance readiness**Experience**

10–15 years in ADAS / Automotive Validation (Tier\-1 or OEM)**Industry Preferred**

Automotive OEMs, Tier 1 Supplier working on ADAS / Autonomous Driving**Qualifications**

BE/BTech/ME/MTech\-Electrical \& Electronics, Mechatronics, Automotive Electronics or any equivalent**General Requirements**

1\. Expertise in ADAS validation lifecycle (V\-cycle)

2\. Strong knowledge of

. ADAS Sensors: Camera, Radar, LiDAR, Ultrasonics

. Sensor Fusion \& Perception Systems

3\. Experience with validation tools

. CANoe / CANalyzer

. dSPACE / ETAS / NI

. MATLAB / Simulink

. Python\-based automation frameworks

. IPG CarMaker, dSPACE AURELION

4\. Understanding of

. Automotive communication protocols (CAN, LIN, Ethernet)

. ADAS regulations \& NCAP requirements

5\. Hands\-on experience in

. HIL/SIL/MIL setups

. Test case creation and scenario\-based validation

. Data analysis and log evaluation

6\. Exposure to CI/CD and virtual validation environments**Our commitment to Diversity, Equity, and Inclusion**

At Mahindra and Mahindra Limited, we believe that diversity drives innovation, and inclusion is at the heart of everything we do. We are committed to cultivating a workplace where every individual feels valued, respected, and empowered to thrive.

We are proud to be an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to age, caste, race, religion, color, ethnic origin, gender identity, nationality, physical or mental disability, medical condition, sexual orientation, educational background, marital or domestic partnership status, pregnancy or childbirth, veteran status, citizenship status, ancestry, financial status, or any other personal characteristic protected by applicable law.

We actively encourage candidates from all backgrounds to apply and bring their unique perspectives to our teams. We are committed to ensuring an accessible and inclusive experience for all applicants.

Together, we rise by embracing differences and building a future that reflects the communities we serve.

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