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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