Senior Compiler Researcher / Architect

Senior Compiler Researcher / Architect

Position Overview

A research-focused computing organization is seeking a Senior Compiler Researcher / Architect to advance next-generation compiler infrastructures for heterogeneous and AI-centric computing systems.

This role focuses on compiler research, software–hardware co-optimization, and performance engineering across modern accelerator architectures. The successful candidate will contribute to both foundational compiler technologies and emerging AI compilation frameworks, helping shape future system software stacks for high-performance computing and machine learning workloads.

Key Responsibilities

Compiler Research & Infrastructure Development

• Design and validate advanced compiler infrastructures and optimization algorithms.
• Develop techniques to:
  • Maximize computational performance
  • Optimize memory utilization
  • Generate efficient hardware-specific code
• Improve programmability and execution efficiency across heterogeneous architectures.

Software–Hardware Co-Optimization

• Drive optimization across compiler and hardware boundaries, including:
  • Kernel fusion
  • Operator scheduling
  • Memory layout optimization
• Enable efficient execution on:
  • GPUs
  • TPUs
  • NPUs
  • Custom accelerators and heterogeneous systems

Compiler Technology Strategy & Innovation

• Track and evaluate emerging trends in:
  • Traditional compiler ecosystems (LLVM, GCC)
  • AI compiler stacks (MLIR, TVM, Triton, XLA, etc.)
• Propose novel compilation techniques to improve:
  • Compilation speed
  • Runtime performance
  • Code size
  • Developer productivity
• Contribute to long-term technical and strategic planning.

Collaboration & Research Ecosystem

• Collaborate with academic and industrial research partners.
• Lead and manage external research collaboration projects independently.
• Contribute to technology transfer and ecosystem development initiatives.

Required Qualifications

• MSc or PhD in Computer Science, Software Engineering, or a related field.
• Experience in compiler development, system software, or computer architecture.
• Strong expertise in compiler construction, including:
  • Front-end parsing
  • Middle-end optimizations
  • Back-end code generation
• Hands-on experience with:
  • LLVM, GCC, or similar infrastructures
  • Modern AI compiler frameworks such as MLIR, TVM, or XLA

Technical Expertise

• Deep understanding of compiler optimization techniques, including:
  • Auto-vectorization
  • Loop transformations
  • Register allocation
  • Instruction scheduling
  • Polyhedral optimization
  • Computational graph optimization
  • Operator fusion
• Experience optimizing code generation for specialized hardware architectures:
  • GPUs
  • NPUs
  • DSPs
  • Custom SoCs
  • Many-core systems
• Strong understanding of hardware–software interactions and microarchitecture concepts:
  • Memory hierarchies
  • Instruction pipelines
  • SIMD/VLIW execution
  • On-chip interconnects

Preferred Qualifications

• Experience in AI system optimization and hardware-aware compilation.
• Knowledge of software–hardware co-design methodologies.
• Experience optimizing machine learning workloads and solver frameworks.
• Proficiency in Python in addition to C/C++.
• Contributions to compiler research, open-source systems, or high-performance runtime environments.

Personal Attributes

• Strong analytical and systems-thinking mindset.
• Ability to bridge compiler theory with practical system optimization.
• High attention to performance, scalability, and code quality.
• Effective communicator with strong technical writing skills.
• Collaborative and research-oriented working style.