Description
Our ADAS 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 analyse performance, inter-operation and deterministic execution flows.
Key responsibilities include driving architectural improvements that simplify and modularise the software stack, designing and developing clean boundaries between components with a 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, and profiling and tuning system performance , optimising for modern multi-core and real-time environments.
To succeed in this role, you will need a BS or MS in Computer Engineering, Computer Science, or a related field (or equivalent experience), 8+ years of professional software development experience, a solid background in C++ programming, a 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, comfort working in Linux, QNX, or other embedded RTOS environments, and exceptional communication skills and a collaborative, hard-working attitude.
Preferred qualifications include experience developing ADAS software , especially in components like Planning, Sensor Fusion, Mapping, or Localization, a 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), and experience using Git and Bazel in large-scale software environments.