Compiler Engineer - GPGPU

Are you a Compiler Engineer with GPGPU experience that is looking for an exciting new role at a globally known semiconductor multinational?

At European Tech Recruit we are working alongside a market leading chip company, helping them bring on board a GPGPU Compiler Engineer to work on cutting edge R&D projects within the GPU space.

Responsibilities:

• Develop, optimize, and maintain compilers for GPGPU programming languages and APIs, including SYCL, OpenCL, and CUDA.
• Design and implement performance optimizations for parallel computing applications, ensuring efficiency across heterogeneous architectures.
• Collaborate with hardware and software teams to enhance compiler support for GPU features, memory hierarchies, and performance tradeoffs.
• Develop and optimize shaders or compute kernels for graphics and compute-intensive applications.
• Conduct benchmarking, performance analysis, and tuning to maximize the efficiency of parallel applications.
• Profile and model application performance in diverse domains such as HPC, AI, AR/VR, and gaming.
• Contribute to the development of GPU or CPU device drivers, ensuring robust compiler integration.
• Design and implement advanced data structures and algorithms to support compiler features and optimization strategies.
• Stay up-to-date with the latest advancements in compiler technology, GPU architecture, and parallel computing methodologies.
• Document designs, tools, and processes, providing support to internal teams and external developers.

Qualifications:

• Strong proficiency in C/C++ programming and object-oriented design principles.
• Extensive knowledge of compiler development and optimization techniques.
• Familiarity with GPGPU APIs such as SYCL, OpenCL, and CUDA.
• Hands-on experience in graphics shader programming or kernel development for OpenCL, CUDA, or SYCL.
• Solid understanding of computer architecture, particularly GPU design, memory systems, and performance tradeoffs.
• Experience in parallel computing across multi-core CPUs, GPUs, or heterogeneous systems.
• Expertise in benchmarking and tuning parallel applications for maximum performance.
• Knowledge of performance profiling tools and modeling for applications in gaming, HPC, AR/VR, or AI.
• Experience in device driver development for GPUs or CPUs.
• Strong foundation in data structures, algorithms, and object-oriented programming.

If interested in this role please apply here or send your email direct to [email protected]

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