Principal Engineer - VES

Date: 29 Dec 2025

Location:

Chennai, Chennai-MRV-AD, IN

Company: Mahindra & Mahindra Ltd

Job Purpose

To lead the end-to-end development and calibration of ADAS/Automated Driving systems, ensuring optimal performance, compliance with safety and quality standards, and timely delivery of project milestones. This role drives validation strategies, risk mitigation, and cross-functional collaboration while mentoring teams to achieve technical excellence.

Responsibilities & Key Deliverables

1. Product Development:

Lead ADAS projects from concept to deployment across 2–3 parallel programs, ensuring on‑time delivery and meeting all technical and quality requirements.
Work with cross‑functional teams to define system specs, architecture, and interfaces.
Ensure designs are strong and compliant with all safety, regulatory, and quality standards.

2. Project Deliverables & Adherence to Processes:

Lead and track project milestones end‑to‑end, ensuring on‑time, within‑budget delivery while following defined processes and standards.
Report project status, risks, and mitigation plans, conduct reviews, execute test cases, and analyze vehicle test logs to support system validation and improvement.
Collaborate with cross‑functional teams to set up End‑of‑Line (EOL) calibration and verification stations

3. Quality Maintenance & Process Adherence:

Ensure high-quality design, development, and testing processes throughout the project.
Conduct DFMEA to identify potential issues early and implement risk‑mitigation actions.
Define and execute the DVP to verify that the system meets all requirements.

4. Technical Expertise & Development Tools:

Develop ADAS algorithms and system software using C, C++, and Python.
Work with vehicle network architectures like CAN and Ethernet and integrate them into the ADAS system.
Use CAN and Ethernet tools for diagnostics, testing, and communication analysis

5. Prototyping & Innovation:

Design, develop, and test prototypes to validate new ADAS features and concepts.
Drive innovation by introducing new technologies, tools, and methods while staying updated on industry trends.
Work effectively in a fast‑paced, agile environment that requires flexibility and adaptability.

6. Mentorship & Team Leadership:

Lead, mentor, and develop a high‑performing engineering team both technically and professionally.
Promote a collaborative, knowledge‑sharing environment to support continuous learning and team growth.
Provide technical leadership in troubleshooting and resolving complex engineering issues

7. Collaboration & Stakeholder Management:

Work closely with internal teams and suppliers to ensure product requirements, timelines, and deliverables are met.
Maintain accurate documentation and reporting, including test results, engineering changes, and system specifications.

8. Roadmap & Future Readiness:

Develop departmental roadmaps by assessing technology status, creating proof‑of‑concepts, and aligning Time, Cost, and Performance targets with stakeholders.
Build reusable assets and resources to support upcoming projects with minimal additional effort.
Recruit and develop engineering talent, building a team capable of initiating and executing new projects from the ground up.

Experience

13+ years for (M.E/M.Tech)/ 15+ years for (B.E/B.Tech) in automotive systems engineering with a focus on ADAS or related fields, including hands-on experience with system-level engineering, product development, and integration.

Industry Preferred

Automotive

Qualifications

M.E/M.Tech/B.E/B.Tech (Electronics)

Technical Expertise and Developmental Tools:

Proficiency in development languages such as C, C++, and Python.
Strong understanding of vehicle network architecture, including CAN and Ethernet protocols.
Hands-on experience using CAN and Ethernet tools (e.g., Vector CANalyzer, CANoe, Wireshark).
Expertise in DFMEA, DVP, and testing methodologies.
Proficiency in rapid prototyping techniques. Familiarity with development tools, such as MATLAB, Simulink, or similar tools for simulation and rapid prototyping.
Strong knowledge of ADAS systems, including sensors (cameras, radar, LiDAR), ECU, and algorithms.
Deep knowledge of ADAS technologies, sensor fusion, machine learning, and real-time operating systems (RTOS).