Level

Intel

Compiler Performance Engineer

Intel is hiring a Compiler Performance Engineer in Shanghai, China. Level rates it ; you can apply on Intel.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include PyTorch, Llvm and Sycl.
  • Level classifies it as a mid-level role.
  • Level lists 746 other open roles at Intel.
  • The role was posted in the last few days.

AI in this role

Develop and tune compiler performance and optimization strategies for AI and HPC software ecosystems on Intel silicon.

pytorchllvmsycltritonmlir
compiler-optimizationperformance-analysiscode-generationc
Job Details:

Job Description: 

The Compiler Engineering team in Intel's Data Center Group is looking for talented and passionate compiler engineers.

At Intel, we are building the next generation of software technologies that unlock the potential of heterogeneous computing. Our compiler technologies help developers harness CPUs, GPUs, and accelerators through high-performance, portable software. Our mission is to build, innovate, and deliver industry leading compilers and tools that maximize hardware performance for our customers and Intel silicon - advancing performance, scalability, reliability, and developer productivity for AI, HPC, and other demanding workloads, while supporting Intel's commitment to contributing to and collaborating with open-source communities.

The team develops LLVM-based C, C++, SYCL, Triton, MLIR, Domain Specific Language (DSL), and Fortran compiler technologies for Intel CPUs and GPUs, working across the full compiler stack: language front ends, intermediate representations, optimization, code generation, debug information, runtimes, offload support, quality, and developer tooling. We offer great opportunity for technical development and career growth, including work on cutting-edge compiler technologies, coaching from senior engineers and leaders, and collaboration with talents around the world.

Responsibilities

In this position you'll join the software engineering team working on compiler performance and optimization. You will learn the magic behind a compiler - how source code becomes highly optimized machine code. You will:

- Analyze performance issues in compiler-generated code and help root-cause them to 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 such as PyTorch, inference engines, and machine-learning models.
- Participate in upstream open-source work: filing issues, submitting patches, and following community review practice.
- Implement and extend compiler components - optimization passes, code generation, runtime or offload support - under the guidance of senior engineers.
- Grow into deep expertise in a chosen area - middle-end optimization, backend code generation, heterogeneous and offload compilation, or workload performance analysis.

As a motivated software developer, you will collaborate with a multinational engineering team and have the opportunity to help redefine compiler technology and software tools.

Qualifications:

Minimum Qualifications:
- 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.
- Solid foundation in data structures and algorithms, and strong development and debugging skills in at least one of C/C++/Assembly/Python.
- Course work or project experience in compiler theory - parsing, intermediate representations, data-flow analysis, code generation.
- Strong written and oral communication skills, with the ability to clearly communicate technical details and concepts.
- Precise attention to detail and genuine motivation to learn and improve product performance.

Preferred 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.
- Open-source contribution history.
- Demonstrated ability to analyze and solve complex technical problems.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (China)

Primary Location: 

PRC, Shanghai

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

Compiler Performance Engineer at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Compiler OptimizationPerformance AnalysisCode GenerationCPyTorchLlvmSyclTriton

Questions you could be asked

  1. Tell me about a project where compiler optimization was part of your work. What did you do?
  2. Tell me about a project where performance analysis was part of your work. What did you do?
  3. Tell me about a project where code generation was part of your work. What did you do?
  4. Tell me about a project where c was part of your work. What did you do?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Compiler Optimization, Performance Analysis, Code Generation, C, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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