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Intel

Pioneers microprocessors, CPUs for PCs

Compiler Performance Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listed

About the Job

Requirements

  • A master's degree in Computer Science, Computer Engineering, or a related field, or a bachelor's degree with at least 2 years of relevant experience.
  • A solid foundation in data structures and algorithms, and development and debugging skills in at least one of C, C++, Assembly, or Python.
  • Coursework or project experience in compiler theory, including parsing, intermediate representations, data-flow analysis, and code generation.
  • Strong written and oral communication skills to clearly communicate technical details and concepts.
  • Precise attention to detail and motivation to learn and improve product performance.

Responsibilities

  • Analyze performance issues in compiler-generated code and help identify root causes in specific optimization or code generation phases.
  • Tune workloads and measure performance on Intel CPUs and GPUs, and report regressions and optimization opportunities.
  • Design and implement test automation for continuous integration so performance and quality are tracked daily.
  • Help connect Intel hardware and compiler capabilities with AI and HPC software ecosystems, including PyTorch, inference engines, and machine-learning models.
  • Participate in upstream open-source work by filing issues, submitting patches, and following community review practices.
  • Implement and extend compiler components, including optimization passes, code generation, runtime, or offload support, under the guidance of senior engineers.
  • Develop expertise in an area such as middle-end optimization, backend code generation, heterogeneous and offload compilation, or workload performance analysis.
  • Collaborate with a multinational engineering team.

Desired Qualifications

  • Familiarity with Intel x86 instruction set architecture and Advanced Vector Extensions, or with GPU architecture and execution models.
  • Exposure to LLVM or MLIR compiler infrastructure, or to GCC.
  • Experience with parallel and heterogeneous programming models such as OpenMP, SYCL, OpenCL, Triton, or CUDA.
  • Experience with performance analysis tools and methodology on real-world applications.
  • Exposure to AI/ML frameworks and inference stacks.
  • A history of open-source contributions.
  • Ability to analyze and solve complex technical problems.

About the Company

Intel

Pioneers microprocessors, CPUs for PCs

Intel designs and manufactures semiconductor chips, with a focus on microprocessors for personal computers, servers, and other devices. Its core product is the CPU on a single silicon chip, which executes instructions, handles arithmetic and logic operations, and coordinates the work of other computer components. Intel originated in memory chips but shifted decisively to microprocessors in the 1980s, becoming a central supplier for the PC era after the IBM partnership and its famous x86 processor line. This shift, large-scale manufacturing, and close ties with computer makers set Intel apart from competitors who remained focused on memory or other components. The company aims to power computing by delivering high-performance, energy-efficient silicon solutions that drive a wide range of computing devices and applications.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

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