Senior System Software Architect Autonomous Vehicles

Our Autonomous Vehicles Platform 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. We are looking for a highly motivated Senior Systems Software Engineer with a strong foundation in software architecture. This role is ideal for someone who thrives on working across multiple layers of the software stack to analyze performance, inter-operation and deterministic execution flows. You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi-OEM environment. **What you will be doing:** * Driving architectural improvements that simplify and modularize the software stack. * Designing and developing clean boundaries between components with performance-first approach to software modules. * Refactoring ADAS components to support reuse, extensibility, and long-term maintainability. * Partnering with teams across software, systems, and hardware to define clear interfaces and improve integration velocity. * Establishing test coverage, design reviews, and architectural documentation that scales with the platform. * Profiling and tuning system performance — optimizing for modern multi-core and real-time environments. **What we need to see:** * 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. **Ways to Stand Out From The Crowd:** * 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 #AutonomousVehicles