Senior Compiler Engineer

Senior Compiler Engineer — OpenAI/Triton & GPU Optimization

Location: São Paulo, Brazil

Team: Advanced Engineering / High-Performance Computing (HPC)

LUXOFT ONLY OPERATES UNDER CLT CONTRACT

FULL TIME POSITION

About the Project: Join an elite engineering team working directly on GPU support for OpenAI/Triton —the cutting-edge language and compiler designed for writing highly efficient, custom Deep Learning primitives. In this role, you will collaborate closely with the global open-source community to analyze, develop, test, and deploy massive performance improvements for neural networks implemented with Triton on AMD GPUs utilizing the ROCm ecosystem .

If you are passionate about low-level hardware-software co-design, deep learning acceleration, and open-source systems engineering, this is the place to make a massive industry impact!

Key Responsibilities:

• ️ Compiler Development & Optimization: Architect new features, implement optimization passes, and support the OpenAI/Triton project codebase targeting next-generation GPU hardware.
• Community & Open-Source Collaboration: Engage as a core contributor within the open-source community, aligning engineering updates with project maintainers, internal stakeholders, and product managers.
• ⚡ Performance Engineering: Profile and analyze neural network primitives (like GEMM) to identify microarchitectural bottlenecks and squeeze out maximum hardware performance.
• Quality & Architecture Rigor: Design and execute robust unit, component, and functional testing strategies, ensuring code verification and maintaining world-class technical documentation.

Required Qualifications (Mandatory):

• Core Systems Languages: Exceptional programming mastery in C and C++ , alongside basic script development proficiency in Python .
• ⚙️ Compiler Engineering: Solid, hands-on experience working directly with compiler internals (such as LLVM, GCC , or proprietary compiler architectures).
• Performance Diagnostics: Strong foundation in performance analysis, hardware profiling, and diagnosing microarchitectural bottlenecks.

Technical Skillset Matrix (Nice-to-Have / Strong Pluses):

️ Compiler Architecture & Infrastructure:

• Deep familiarity with modern compiler infrastructures like LLVM and MLIR (Meta-Left Intermediate Representation), including custom optimization pass implementation.
• Solid experience with build systems like CMake, Make, or Ninja .

GPGPU Computing & Hardware Acceleration:

• Direct experience writing or optimizing code for GPGPU architectures via HIP, CUDA, or OpenCL .
• Foundational understanding of GEMM (General Matrix Multiply) execution paradigms and performance tuning at the register/cache level.
• Knowledge of the AMD ROCm infrastructure and runtime stack.

Machine Learning Frameworks & Environment:

• Basic conceptual understanding of Machine Learning/Deep Learning topologies.
• Practical hands-on experience using or testing with PyTorch .
• Experience containerizing development runtimes using Docker .

If you are ready to push the boundaries of AI hardware acceleration and contribute to the core tools shaping the future of deep learning compilers, apply today!