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

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