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# Principal Engineer-GPU Compiler Developer

- **Company:** Gfx Ip
- **Location:** Cambridge, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Computer Programming, Computer Engineering, Computer Graphics, Software Debugging, GNU Linker, Networking Hardware, OpenGL, OpenCL, Software Architecture, System on a Chip, Wi-Fi Technology, Graphics Processing Unit (GPU), IEEE 802.11ax, Virtual Reality, Information Technology
- **Published:** July 11, 2026
- **Apply:** https://eu-recruit.com/jobs/principal-engineer-gpu-compiler-developer/#vacancy-apply

## About the Role

*BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors.
*Working 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 written & verbal communication skills.
*Strong teamwork skill and execution capability.
*Strong problem solving, root causing and debugging skills.
*Strong self-driven 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.

## Description

*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.


## Related Videos

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- [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus)
- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)

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