COMPILER ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Dec 24, 2024 - The Compiler Engineer specialized in developing and enhancing compiler project code bases such as LLVM, GCC, ICC, and MSVC, with robust skills in compiler code generators and optimizers. Proficient in coding, problem-solving, and analyzing complex issues, particularly in assembly code, alongside a strong grasp of modern processor architectures including multi-core, multi-threading, and vector processing. Experience in DSP or embedded systems programming, with a solid background in wireless algorithms and knowledge of security exploitation techniques enriches contributions to open-source projects like LLVM/Clang.

Essential Hard and Soft Skills for a Standout Compiler Engineer Resume
  • Programming Languages
  • Compiler Theory
  • Code Optimization
  • Assembly Language
  • Data Structures
  • Algorithms
  • Debugging Techniques
  • Operating Systems
  • Parallel Computing
  • Lexical Analysis
  • Analytical Thinking
  • Problem Solving
  • Attention to Detail
  • Collaboration
  • Communication
  • Adaptability
  • Creativity
  • Time Management
  • Critical Thinking
  • Patience

Summary of Compiler Engineer Knowledge and Qualifications on Resume

1. BS in Computer Science with 3 years of Experience

  • Experience with the C and C++ programming languages and have studied parsers, semantic analysis, and code generation.
  • Experience in Coursework in semantic analysis, optimization or code generation
  • Knowledge of an intermediate representation like LLVM IR
  • Understanding of good software engineering principles and methodologies and proven C/C++ programming skills on complex projects
  • Experience with GPU-based parallel computing
  • Knowledge of modern C++ or Fortran semantics
  • Experience with LLVM, Clang, or another compiler
  • Exposure to machine code or assembly language programming
  • Familiarity with OpenACC, OpenMP, or CUDA programming
  • Highly motivated with problem-solving skills

2. BS in Computer Engineering with 4 years of Experience

  • Experience developing and contributing to compiler project code base, such as LLVM, GCC, ICC, MSVC
  • Experience developing compiler code generators/ optimizers
  • Excellent coding, problem-solving and analysis skills, including experience with assembly code
  • Passion for programming languages, computer architecture, and/or code optimization
  • Understanding of modern processor instruction set architectures, including multi-core, multi-thread and vector processing
  • DSP or embedded systems programming experience is helpful
  • Strong Wireless algorithm background
  • Knowledge of LLVM/Clang or open-source development
  • Knowledge of security and exploitation techniques

3. BS in Electrical Engineering with 7 years of Experience

  • Experience in developing compiler technology or performing low-level CPU or GPU performance optimizations
  • Experience in developing high-quality code in C/C++, Python, Java or similar programming languages
  • Hands-on experience using scripting languages such as Python
  • Experience with LLVM internals and back-end specifics
  • Familiarity with domain-specific languages for dense computation
  • Knowledge of CPU/GPU pipeline structure & hazards, cache & memory organization, etc.
  • Familiarity with hardware architectures beyond CPU and GPU (e.g., TPU, VPU, FPGA, etc.)
  • Familiarity with deep learning technology and frameworks (e.g., PyTorch, TensorFlow, etc.)
  • Proven track record of taking novel ideas from research and implementing them in commercial products
  • Experience collaborating on open-source projects

4. BS in Software Engineering with 4 years of Experience

  • Experience with Dynamic Code Generation Optimizations for Deep-learning Frameworks
  • Experience in developing compiler technology or performing low-level CPU or GPU performance optimizations
  • Experience in developing high-quality code in C/C++, Python, Java or similar programming languages
  • Hands-on experience using scripting languages such as Python
  • Experience with LLVM internals and back-end specifics
  • Familiarity with domain-specific languages for dense computation
  • Knowledge of CPU/GPU pipeline structure & hazards, cache & memory organization, etc.
  • Familiarity with hardware architectures beyond CPU and GPU (e.g., TPU, VPU, FPGA, etc.)
  • Familiarity with deep learning technology and frameworks (e.g., PyTorch, TensorFlow, etc.)
  • Proven track record of taking novel ideas from research and implementing them in commercial products
  • Experience collaborating on open-source projects
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