We are seeking a dynamic and technically proficient Software Architect cum Requirements Manager to lead the end-to-end design and specification of the ADAS/AD software stack for our next-generation intelligent driving platform. This role involves dual responsibility: defining architectural vision across key modules (e.g., perception, localization, planning, embedded platform) and owning the end-to-end requirements lifecycle.

Responsibilities:

Software Architecture Leadership

• Define and evolve the high-level software architecture for the ADAS/AD stack, including sensor data ingestion, perception, localization, prediction, planning, and embedded systems.
• Partition software components across heterogeneous compute resources (CPUs, GPUs, NPUs, MCUs).
• Ensure alignment with industry standards such as AUTOSAR, POSIX, ISO 26262, and cybersecurity regulations.
  
  

Requirements Engineering

• Own software requirements lifecycle from elicitation to validation.
• Work with stakeholders to gather, derive, trace, and decompose requirements using tools like Confluence, Codebeamer, or Polarion.
• Ensure requirements are aligned with ASPICE-compliant development processes.
  
  

Technical Coordination and Leadership

• Act as liaison between software, systems, hardware, and validation teams
• Guide architectural trade-offs in multi-threaded, real-time, embedded systems.
• Support integration and evaluation of third-party modules.
  
  

Quality & Compliance

• Ensure compliance with ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity).
• Drive software architecture reviews, audits, and conduct technical DFMEA/DFA.
• Support SPICE Level 2+ software quality processes.
  
  

Requirements:

• Bachelor's or Master’s degree in Computer Science, Electrical/Electronics Engineering, Robotics, or related field.
• 8+ years in embedded software architecture in ADAS/AD.
• 3+ years in software requirements management in automotive systems.
• Hands-on experience with SoC-based perception or planning systems.
• Strong command of camera/radar/lidar processing, ISP integration.
• Familiar with ROS/ROS2, DDS, AUTOSAR, embedded C/C++, Python.
• Experience with Linux/QNX, Git, Jira, UML, SysML.
• Strong leadership and communication skills.
• Analytical thinking and proactive ownership.
• Team player across multidisciplinary domains.
• Experience with AI/ML perception stacks in embedded environments.
• Automotive OEM/Tier-1 project exposure.
• Knowledge of real-time profiling on SoCs.
• Functional Safety or Systems Engineering certifications (e.g., TÜV).