Role Overview

We are looking for a Senior Algorithm Engineer to build production-grade algorithms for connected vehicles, EVs, and fleet systems.

This is not a dashboard-only analytics role. You will work with noisy field telemetry, CAN/OBD/J1939 signals, fault codes, battery and powertrain data, sensor behavior, and service outcomes. You will design algorithms that detect issues, predict failures, explain root causes, recommend action, and continuously improve as more vehicles come online.

You should be comfortable moving from messy data exploration to deployable models, from signal-level debugging to fleet-level insights, and from "engaging graph" to "customer can take action now."

What You'll Do

Build vehicle intelligence algorithms

Develop algorithms across areas such as fuel, EV battery health, diagnostics, driver behavior, and predictive maintenance. Example problem areas include:
- Fuel theft, refill, drain, consumption, fill-rate detection, and fuel-sensor failure detection.
- Fuel rail pressure, pumping efficiency, oil pressure, turbo-health, air-filter,



coolant-temperature, and powertrain anomaly detection.
- DEF efficiency, DPF health, air-intake-system performance, and after-treatment diagnostics.
- Ambient-aware EV range prediction, battery SOH/SOC estimation, battery-pack temperature forecasting, and battery-swap readiness signals.
- Driver-behavior scoring and fuel-efficiency impact attribution.
- Fault-code aggregation, diagnostic-code sequencing, RCA, upstream failure analysis, and guided repair recommendations.

Own the full algorithm lifecycle

Take algorithms from data discovery to production. This includes data cleaning, signal validation, feature engineering, model development, offline evaluation, field validation, deployment, monitoring, drift detection, and iteration.

Work with real-world vehicle telemetry

Handle missing data, sensor noise, inconsistent calibration, vehicle variants, firmware differences, network gaps, and edge cas

📌 Senior Algorithm Engineer (Bengaluru)
🏢 IOtexpress Technologies
📍 Bengaluru