At a Glance
- Tasks: Design and develop cutting-edge GPU compiler software and optimise performance.
- Company: Join MediaTek, a global leader in semiconductor innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects in AI, gaming, and more.
- Why this job: Be at the forefront of technology, impacting millions of devices worldwide.
- Qualifications: Degree in Computer Science or related field; experience with compilers and C/C++ programming.
The predicted salary is between 60000 - 84000 £ per year.
MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems‑on‑chip (SoC) for mobile devices, home entertainment, connectivity and IoT products. MediaTek is the number one Wi‑Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi‑Fi 6 chipsets are powering the latest networking equipment for faster computing experiences.
With the market leader position of MediaTek SoC design, MediaTek GPU IP team is committed to industry leading, feature rich and PPA competitive GFX IP optimization, customization and development. The GFX IP will be deployed in flagship and mainstream mobile SoC, and will also serve as fundamental technology for adjacent markets like laptop, IoT, AI, VR/AR, automotive etc. The team is now hiring all areas of GPU talents at all levels including Architecture, SW driver, Compiler, Performance, Power and Model engineers to join Cambourne, Cambridge.
Role and Responsibilities
- Define GPU compiler software architecture and interfaces.
- Development/implement GPU compiler pipeline, linking and various optimizations/transformations.
- Collaborate with Driver team, HW team to implement new API & HW features.
- Collaborate with Driver team, HW team to improve/tune performance & power consumption.
- Execute & deliver to meet milestones/schedules.
- Analyze and debug code generation issues.
- Analyze and influence future GPU architectures.
- Construct reliable & trustable relationships across teams internally & externally.
Requirement
- Bachelor's, Master's or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors.
- Experience on product compiler, compiler tools such as assembler, linker development.
- Hands‑on knowledge/experience on C/C++ programming.
- Hands‑on knowledge/experience on state‑of-the-art compiler optimization/transformation techniques.
- Hands‑on knowledge/experience on LLVM.
- Strong teamwork skill and execution capability.
- Strong problem solving, root causing and debugging skills.
Preferred skills
- Knowledge/experience on GPU/GPU pipeline and GPU architecture.
- Knowledge/experience on SIMD architecture.
- Knowledge/experience on D3D, Vulkan/OpenGL, OpenCL APIs.
- Knowledge/experience on leveraging AI in compiler/tool/optimization development.
