Lead Engineer - VES

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.

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