ADAS Architect (Digital Cockpit & Infotainment Fusion Systems)

Location : CHENNAI

Position Overview

ADAS Architect (Digital Cockpit & Infotainment Fusion)

Key Responsibilities

• Define and own the

  ADAS + Digital Cockpit fusion architecture

  for multi-domain SoCs (Qualcomm SA8295P, NVIDIA Orin).
• Design

  system-level data flow and software partitioning

  between ADAS functions (perception, vision, sensor fusion) and Infotainment modules (HMI, rendering, audio).
• Architect

  camera ingestion and video pipeline

  (ISP, Vision DSP, GPU rendering) for surround view, DMS, and RVC integration.
• Define

  inter-domain communication interfaces

  shared memory, Ethernet (AVB/TSN), SOME/IP, or gRPC between safety and infotainment domains.
• Ensure

  system performance KPIs

  (frame rate, latency, and bandwidth) are optimized for real-time camera and perception tasks.
• Collaborate with HMI and graphics teams to

  render ADAS visuals

  (lane, object overlays, alerts) within the cockpit display framework.
• Define and review

  safety and isolation concepts (ASIL-B/D)

  across vision and infotainment domains.
• Work with platform vendors (Qualcomm/NVIDIA/TI) to leverage SoC-specific accelerators (CV, GPU, AI) for ADAS use cases.
• Lead

  proof-of-concept (POC)

  and

  prototype implementations

  for integrated cockpit-ADAS features such as surround view, DMS visualization, and AR HUD overlays.
• Coordinate with software integration teams to ensure

  QNX, Linux, and Android domain separation

  and inter-OS communication integrity.
• Define and document

  software architecture, interface contracts, and deployment strategies

  across multiple ECUs or virtualized domains.

Required Skills & Experience

• Bachelor’s / Master’s in Electronics, Computer Science, or related discipline.

• 14–19 years

  of automotive embedded experience, with

  minimum 5 years in ADAS / Cockpit system architecture.

• Strong understanding of

  camera-based perception systems

  , sensor calibration, and image pipeline processing.
• Proficiency in

  Ethernet-based automotive communication

  (AVB/TSN, SOME/IP, DDS, gRPC).
• Deep expertise in

  SoC-level integration

  on platforms such as

  Qualcomm SA8295P / SA8650 / NVIDIA Orin / TI Jacinto

  .
• Solid knowledge of

  AUTOSAR Adaptive, QNX microkernel architecture

  , and

  Android Automotive OS

  integration.
• Experience with

  GPU and Vision DSP frameworks

  (OpenVX, OpenGL, TensorRT, SNPE).
• Working knowledge of

  ISO 26262

  safety concepts and

  ASIL-level architectural partitioning

  .
• Familiar with

  ROS2, camera HAL, and GStreamer-based video frameworks

  .
• Proficient in

  C/C++ and Python

  , with hands-on experience in debugging and system profiling.
• Strong leadership and cross-functional coordination skills (hardware, HMI, perception, platform teams).

Preferred Skills

• Exposure to

  AI-based perception

  (object detection, lane recognition, DMS/OMS).
• Knowledge of

  cybersecurity standards (ISO 21434)

  and

  secure communication design

  .
• Experience with

  virtualized domain controllers

  and

  hypervisor-based separation

  (QNX Hypervisor / Android VM).
• Experience in

  integrating AR overlays, cluster-CID synchronization

  , or

  360 visualization

  in digital cockpits.
• Prior participation in

  concept-to-production lifecycle

  for ADAS/cockpit fusion projects.