Join a world-leading semiconductor technology company at the forefront of advanced GPU and system-on-chip innovation.
This is an opportunity to become part of a highly specialised GPU development team working on next-generation technologies across mobile, computing, AI, automotive, IoT and VR/AR platforms.
The organisation develops advanced semiconductor solutions that power billions of connected devices globally, and its GPU technology plays a critical role across an expanding range of high-performance applications.
This position is suited to an engineer who wants to work beyond a single layer of the GPU software stack. You will have the opportunity to contribute across graphics and compute APIs, kernel-mode drivers, firmware, hardware/software co-design and system-level performance optimisation.
The role
You will work closely with GPU architects, micro-architecture specialists, compiler engineers and modelling teams to maximise silicon performance and influence future GPU designs.
Key areas of responsibility include:
- Designing, implementing and optimising functionality for graphics and compute APIs such as Vulkan, DirectX, OpenGL ES and OpenCL.
- Developing low-level GPU software, including kernel-mode drivers and firmware, with a focus on scheduling, memory management, stability and execution efficiency.
- Investigating complex performance issues across the full software and hardware stack, including driver overhead, bandwidth utilisation, compute throughput and power/performance trade-offs.
- Contributing software expertise to hardware architecture and micro-architecture decisions for future GPU generations.
- Leading technically challenging debugging and development activities while supporting and mentoring other engineers.
- Working flexibly across API, driver, firmware and performance domains rather than being restricted to a single area of ownership.
What we’re looking for
You should bring strong experience in GPU drivers, graphics systems or low-level systems software, together with excellent C/C++ programming skills and confidence working close to hardware.
Ideally, you will have:
- Deep expertise in one or more graphics or compute APIs, including Vulkan, DirectX 12, OpenCL or OpenGL ES.
- A strong understanding of GPU architecture and internals, including memory hierarchies, command submission, scheduling, synchronisation, graphics pipelines and performance bottlenecks.
- Experience working across different areas of the GPU stack, from APIs and kernel drivers through to firmware, compilers and hardware architecture.
- The ability to lead complex technical investigations and contribute to high-level engineering decisions.
Additional experience in GPU performance analysis, firmware, virtualisation, compiler technology or runtime optimisation would be valuable. Exposure to AI/ML workloads, DNN operators or mapping computational workloads onto GPUs and accelerators would also be advantageous.
This is an opportunity to work on advanced GPU technology where software engineering decisions can directly influence future silicon architecture and real-world graphics, compute and AI performance.
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