The job in short
Lead telematics embedded firmware engineering for vehicle network interface.
PythonC++Embedded
Details
- Found
- 13 d ago · posted 2026-09-16
- Role
- Embedded / Firmware Engineer
- Source
- The company’s own careers site
Full description
Position: Lead – Telematics
Experience Level: 12 – 20 years.
Location: Pune/ Bangalore
Desired Qualification:
BE/ BTech/ ME/ M.Sc./ Mtech in Electronics (& Telecommunication)/ Instrumentation/ Controls/ Electrical Engineering/ Computer Science from a reputed institute.
Job Description:
Join our Telematics Engineering team to lead the development and optimization of the Vehicle Network Interface. You will be the bridge between the vehicle’s edge-level implementation and the cloud, managing the critical firmware that powers Analytics, Over-the-Air (OTA) Updates, and Remote Diagnostics. This is a high-impact role where you will not only maintain current systems but also architect the connectivity solutions of the future.
Required Exposure:
• Understanding of overall IOT frameworks from security and data communication standpoints.
• Understanding of MQTT protocol, TCP/IP and UDP.
• Knowledge of security implementation using certificates in PKI environment.
• Hands – on exposure to CAN-FD, UART and SPI drivers
• Hands – on exposure to UDS and ISO-TP protocols.
Preferred add-ons:
• Working experience with Renesas RH850 microcontroller using GreenHills/ CS+ compiler and E2 debugger using C/ C++.
• Experience with Doxygen for document generation.
• Scripting skills (Perl/Python/VB) would be an added advantage.
Core Responsibilities
• System Ownership: Manage the microcontroller-based firmware that interfaces between the vehicle network and the cellular modem.
• Feature Implementation: Drive the edge-level logic for critical telematics functions, including OTA Flashing, remote diagnostics, and data analytics.
• Root Cause Analysis: Lead cross-functional troubleshooting to determine if issues originate in the Cloud, Network Interface, or Vehicle Interface, and coordinate resolutions.
• Connectivity Optimization: Partner with stakeholders to refine device provisioning and optimize network traffic to ensure a robust, high-performance connection.
• Architecture Evolution: Identify design improvements and participate in shaping the next-generation connectivity architecture for future vehicle platforms.
• Problem Solver: Ability to analyze complex system logs to debug intermittent connectivity issues in a distributed cloud-to-vehicle ecosystem.
• Collaborative Mindset: Experience working with cloud engineers and system architects to optimize end-to-end data flow.
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