Senior Compiler Researcher / Architect

🚀 We Are Hiring: Senior Compiler Researcher / Architect

Are you passionate about pushing the boundaries of what’s possible at the intersection of hardware and software?

This is an on site role, based in Zurich with a leading, research-focused computing organization is seeking a Senior Compiler Researcher / Architect to drive the development of next-generation compiler infrastructures. In this role, you will shape the future of system software stacks for heterogeneous and AI-centric computing systems, directly impacting high-performance computing (HPC) and machine learning workloads.

If you thrive on bridging compiler theory with practical, cutting-edge system optimization, we want to hear from you!

💡 Key Responsibilities

• Compiler Research & Infrastructure: Design, validate, and evolve advanced compiler infrastructures and optimization algorithms to maximize performance, optimize memory, and improve execution efficiency.
• Software–Hardware Co-Optimization: Drive deep optimization across compiler and hardware boundaries (including kernel fusion, operator scheduling, and memory layout) for GPUs, TPUs, NPUs, and custom accelerators.
• Strategy & Innovation: Evaluate and innovate within traditional compiler ecosystems ( LLVM, GCC ) and modern AI compiler stacks ( MLIR, TVM, Triton, XLA ).
• Ecosystem Collaboration: Lead external research collaborations with academic and industrial partners, contributing to technology transfer and open-source ecosystem initiatives.

🎓 Required Qualifications

• Education: MSc or PhD in Computer Science, Software Engineering, or a related field.
• Core Expertise: Strong background in compiler construction (front-end parsing, middle-end optimizations, back-end code generation) and computer architecture.
• Hands-on Tools: Proven experience with LLVM , GCC , or modern AI compiler frameworks like MLIR , TVM , or XLA .
• Deep Technical Knowledge: Solid understanding of optimization techniques (auto-vectorization, loop transformations, polyhedral optimization) and specialized hardware architectures (GPUs, NPUs, many-core systems).
• System Understanding: Strong grasp of microarchitecture concepts, including memory hierarchies, instruction pipelines, and SIMD/VLIW execution.

✨ Preferred Qualifications

• Experience in AI system optimization and hardware-aware compilation.
• Knowledge of software–hardware co-design methodologies.
• Proficiency in C/C++ and Python .
• Active contributions to compiler research, open-source systems, or high-performance runtime environments.

🧠 Who You Are

• A systems thinker who can seamlessly connect theoretical concepts with real-world, scalable system optimization.
• A collaborative researcher with excellent communication and technical writing skills.
• Driven by a high attention to performance, scalability, and code quality.

📬 Interested?

Join a team that is redefining the future of high-performance and AI computing. Apply today or share this post with your network!

(To apply or learn more, please send a DM or click the link in the comments below).

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