Camera Video chain Engineer

• Define and develop the middleware layer for camera and video subsystems covering motion architecture, video architecture, and power management integration within the ADAS ECU.

• Design scalable and modular interfaces for multi-camera systems used in Surround View, Park Assist, and Perception modules.

Investigate and architect new video-based features—e.g., cloud video streaming, customer mobile app integration, data logging, and remote feature enablement.

• Analyze system startup delays in current camera pipelines; propose and prototype optimized initialization and power sequencing concepts to achieve faster boot times.

• Collaborate with platform, hardware, and application teams to integrate the video middleware with the broader ADAS software platform.

• Ensure compliance with AUTOSAR / Adaptive Platform architectural principles and ASIL (Functional Safety) considerations where applicable.

Participate in system performance reviews, design documentation, and technical alignment with cross-functional engineering teams.

• Minimum 5+ years in the automotive domain.

• Strong background in embedded software architecture for ADAS camera systems or video middleware frameworks.

• Hands-on experience with video interfaces and pipelines (GMSL, MIPI, V4L2, OpenVX, OpenCV, or NVMedia-based frameworks).

• Solid understanding of boot-time optimization, power states, and resource management in automotive ECUs.

• Experience in C/C++, Linux/QNX-based automotive platforms, and middleware abstraction layers.

• Exposure to camera calibration, multi-sensor synchronization, and low-level driver integration.

• Good understanding of AUTOSAR (Classic/Adaptive) architecture and its impact on the middleware layer.

• Familiarity with cloud connectivity, data pipelines, or app-level integration for camera-based features is a plus.

• Excellent analytical, communication, and cross-domain collaboration skills.

• Experience with NVIDIA Drive / Qualcomm / Renesas / AURIX-based platforms.

• Background in ADAS feature development, such as Surround View, Driver Monitoring, or Object Detection.

• Knowledge of ASPICE and Functional Safety (ISO 26262).

• Prior experience with OEMs or Tier-1 suppliers in production vehicle programs.

 Worked in an Agile framework

 Experienced in SW integration of various components across multiple layers and platforms

 Track record of challenging the status quo and driving continuous improvements to improve S/W quality, and time-to-market

 Provided new ideas and submitted research proposals ahead of production standards

 High-quality awareness, Automotive SPICE, CMM

 Be self-directed to create innovative and alternative solutions

 Ability to deliver presentations and efficiently communicate with senior executives both internally and externally