GPU Compiler Engineer - Cambridge (Perm)

MICROTECH GLOBAL LTD; Cambridge; On-site; GBP 75,000 - 110,000; Full time

Job summary

MICROTECH GLOBAL LTD in Cambridge is seeking an experienced GPU compiler software engineer to define architecture, interfaces, and to develop the GPU compiler pipeline, including linking and multiple optimizations.

You will collaborate with Driver and HW teams to implement new APIs and features, optimize performance and power, analyze code generation issues, influence future GPU architectures, and deliver on milestones with strong teamwork and communication.

Qualifications

• BS, MS or PhD in Computer Science, Electrical or Computer Engineering or related majors.
• Experience with product compiler and compiler tools such as assembler and linker development.
• Hands-on knowledge of C/C++ programming.
• Hands-on knowledge of state-of-the-art compiler optimization/transformation techniques.
• Hands-on knowledge of LLVM.
• Strong written and verbal communication skills.
• Strong teamwork skill and execution capability.
• Strong problem solving, root causing and debugging skills.
• Strong self-driven 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.

Responsibilities

• Define GPU compiler software architecture and interfaces.
• Develop/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.

Skills

C/C++ programming

LLVM

Compiler tools

Compiler optimizations

Team collaboration

Communication skills

Education

BS/MS/PhD in CS/EE/CE

Tools

Assembler

Linker development

Job 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.

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.

Main Requirements and Qualification

• 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.