Automotive System Architect (E&E)

We are seeking a highly skilled and experienced System Architect (E&E) to lead the design and integration of advanced vehicle network systems with a focus on gateway architecture, various CAN (Controller Area Network) protocols, and Body Control areas. The ideal candidate will drive end-to-end software architecture decisions for Software-Defined Vehicle (SDV) architecture, ensuring scalable, secure, and future-proof solutions.

Role/Position : System Architect – E&E

Experience : 12-15 Years

Work Location : India (Need to travel around the globe as per the project requirement)

Education : B.Tech, B.E, MCA, BCA, Diploma in Computer Engineering\Electronics\Communication Engineering

Key Responsibilities

• Lead the architecture and design of SDV platforms, focusing on vehicle gateway and CAN network topologies (e.g., CAN-FD, CAN-HS, CAN-LIN)

• Define and review system and software architecture for all related ECUs

• Collaborate with cross-functional teams including hardware, software, cybersecurity, and cloud services to deliver integrated vehicle solutions

• Evaluate and define software interfaces, data exchange formats, and communication strategies between ECUs and central computer platforms

• Ensure compliance with automotive standards

• Participate in platform development planning, toolchain selection, and development processes in a CI/CD environment

• Perform architectural reviews and provide technical leadership to internal and supplier development teams.

• Work closely with validation and verification teams to ensure robust testing and diagnostics of gateway and related ECU functions.

Primary Skills/Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field.

• Minimum 12+ years of experience in automotive embedded systems, with at least 3 years in an architecture role.

• Deep understanding of CAN architecture, vehicle gateways, and different ECU based system design.

• Knowledge of Ethernet-based communication (e.g., SOME/IP, DoIP).

• Proven experience with CAN protocol stacks, diagnostics (UDS), and communication matrix (DBC).

• Strong background in embedded C/C++, RTOS, and vehicle network configuration tools (e.g., Vector CANoe, CANalyzer).

• Familiarity with automotive safety and cybersecurity considerations.

• Experience with SDV platforms, service-oriented architectures (SOA), and centralized vehicle compute is highly desirable.

Preferred (Secondary) Skills

• Experience with cloud-connected vehicle platforms and over-the-air (OTA) updates.
• AUTOSAR (Classic and Adaptive) architecture design and implementation experience.
• Working knowledge of AI/ML integration in ADAS systems.