Mahindra & Mahindra—Lead Engineer - VES

Job description

Description: Responsibilities & Key Deliverables - Define, structure, and own the KPI framework for L2++/L3 features (e.g., ACC, LKA/LCC, lane centering, automated lane change, traffic jam assist) — covering safety, comfort, perceived quality, and system responsiveness metrics. - Set and justify numeric targets for each KPI based on vehicle dynamics, benchmarking, regulatory limits, and customer experience goals. - Build and maintain a clear mapping of which vehicle/control parameters influence which KPIs (e.g., how lateral acceleration/jerk limits affect ride comfort scores, how controller gains affect overshoot and settling time, how sensor latency affects time-to-collision margins). - Work with controls, perception, and calibration teams to trace KPI shortfalls back to root-cause parameters and recommend tuning direction. - Define and support validation/test strategy for KPI verification, including test tracks, scenario matrices, and objective measurement methods. - Benchmark competitor L2++/L3 systems and translate findings into internal target revisions. - Prepare KPI documentation aligned with relevant regulatory and ADAS standards (UNECE R79, AIS 197, ISO 26262, ISO 21448/SOTIF, and comfort/safety assessment protocols) for internal sign-off and homologation support. Collaborate cross-functionally with system architects, software/controls engineers, test & validation teams, and OEM program management Experience Industry Preferred Qualifications - Bachelor's/Master's degree in Mechanical, Automotive, Electrical/Electronics Engineering, or related field. - Solid, demonstrable understanding of vehicle dynamics (lateral, longitudinal, and vertical) and how dynamic parameters translate into ADAS/AD system KPIs. - Prior experience defining, tracking, or validating KPIs/targets for automotive systems, ideally ADAS or AD features. - Ability to independently analyze test/log data and connect KPI deviations to underlying vehicle or controller parameters. - Strong documentation and cross-functional communication skills to align engineering, testing, and program teams around targets. General Requirements - Working knowledge of longitudinal and lateral control for L2 systems (ACC, AEB, LKA/LCC control loops, controller structures). - Hands-on experience with vehicle dynamics simulation/objective evaluation tools such as AVL Drive (or similar, e.g., CarMaker, CarSim). - Exposure to sensor fusion/perception stack outputs and their impact on downstream control and comfort KPIs. - Familiarity with deriving KPIs from real-world fleet/CAN log data (e.g., BLF logs, DBC-based signal extraction). - Working knowledge of other ADAS-related standards covering safety and comfort, such as ISO 21448 (SOTIF), ISO 15622 (ACC), ISO 11270 (LKA/LCC), and Euro NCAP / Bharat NCAP comfort and perceived-safety assessment protocols. - Exposure to AI/ML-based tools for data analysis and insight generation from vehicle/fleet data (e.g., pattern detection in log data, automated anomaly flagging, AI-assisted KPI trend analysis) is a plus. Our commitment to Diversity, Equity, and Inclusion