Senior System Software Architect, Autonomous Vehicles

We are seeking a highly motivated Senior Systems Software Engineer with a strong foundation in software architecture to join our Autonomous Vehicles Platform team. The team is responsible for building a scalable and modular software stack that powers advanced driver-assistance systems across a diverse range of product lines and OEMs.

You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi-OEM environment.

Responsibilities:

• Drive architectural improvements that simplify and modularize the software stack.
• Design and develop clean boundaries between components with a performance-first approach to software modules.
• Refactor ADAS components to support reuse, extensibility, and long-term maintainability.
• Partner with teams across software, systems, and hardware to define clear interfaces and improve integration velocity.
• Establish test coverage, design reviews, and architectural documentation that scales with the platform.
• Profile and tune system performance , optimizing for modern multi-core and real-time environments.

Requirements:

• B.Tech. or M.Tech. in Computer Engineering, Computer Science, or a related field (or equivalent experience).
• 8+ years of professional software development experience.
• Solid background in C++ programming.
• Strong understanding of modular software architecture, clean code design, and separation of concerns.
• Hands-on experience building and debugging multithreaded, real-time, or performance-critical systems.
• Familiarity with parallel/distributed systems and low-level system profiling.
• Comfortable working in Linux, QNX, or other embedded RTOS environments.
• Exceptional communication skills and a collaborative, hard-working attitude.

Preferred Qualifications:

• Experience developing ADAS software , especially in components like Planning, Sensor Fusion, Mapping, or Localization.
• Deep understanding of real-time operating systems, particularly QNX.
• Familiarity with the automotive software lifecycle and integration across safety-critical systems.
• Experience with memory management, DMA engines, and hardware abstraction layers (HAL).
• Experience using Git and Bazel in large-scale software environments