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About the role
About River River is a design company building multi-utility products. Our flagship product River Indie, #SUVofScooters, is designed to help you get things done. Engineered to be a dependable ally on your road to success. We're a 1000+ team headquartered in Bengaluru – backed by marquee international investors, with mobility-focused funds linked to Yamaha Motors, Al-Futtaim Automotive Group, Toyota VC, Trucks Venture Capital, Mitsui & Co. Ltd, Marubeni Ventures Inc., Lowercarbon Capital, and Maniv Mobility. Key Responsibilities Efficiently filter and manipulate massive datasets comprising hundreds of ride parameters Support the automated processing of raw CAN data into trackable, standardized ride metrics Analyze extensive sets of vehicle telemetry (including electrical, thermal, and algorithmic metrics) to evaluate system behavior during field testing Monitor ride metrics over time to identify degradation, track fault sequences, and evaluate Ride patterns Develop clear, actionable visual representations (statistical models, histograms, heatmaps, scatter plots) to highlight performance trends and anomalies Compile comprehensive performance reports and live-updating dashboards segmented by vehicle, individual components, firmware versions, and specific test conditions (e.g., environmental factors, geography) Work closely with the engineering and validation teams to assess algorithm functionality and overall component health, providing critical data to support final production release decisions Design and execute test cases to validate any software bugs or edge cases and verify the vehicle functionality. Consolidation of data across different Validation teams, and effective management Ideal Candidate Bachelor's degree in Mechanical, Automobile, Electrical Engineering, or a related field 3 – 5 years of experience in vehicle testing, preferably in the two-wheeler or EV sector, or in the Data Analysis field Familiarity with vehicle telemetry, EV parameters (voltage, current, temperature), and validation processes Basic knowledge of automotive data (CAN bus, DBC decoding, MF4 formats) Proficiency in Python, Google Apps Script, or C++ (C++ preferred for upstream data pipeline automation) Looker Studio / Grafana / AppSheet / PowerBI (or similar)
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