1 day ago
Shanghai, ChinaMid Level
Responsibilities
- Analyze compiler-generated code performance issues and identify their optimization or code-generation causes.
- Tune workloads and measure performance on Intel CPUs and GPUs, reporting regressions and optimization opportunities.
- Design and implement continuous-integration test automation for compiler performance and quality tracking.
- Connect Intel hardware and compiler capabilities with AI and HPC ecosystems, including PyTorch and inference engines.
- Contribute to upstream open-source projects by filing issues, submitting patches, and participating in community reviews.
- Implement and extend compiler optimization passes, code generation, runtime, or offload components under senior-engineer guidance.
Requirements
- Master’s degree in Computer Science, Computer Engineering, or a related field, or a bachelor’s degree with at least two years of relevant experience.
- Strong data structures and algorithms foundation 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, or code generation.
- Strong written and oral communication skills and the ability to explain technical concepts clearly.
- Preferred qualifications include familiarity with Intel x86 instruction set architecture, Advanced Vector Extensions, GPU architectures, LLVM, MLIR, GCC, OpenMP, SYCL, OpenCL, Triton, CUDA, performance analysis, AI/ML frameworks, inference stacks, or open-source contributions.
Benefits
- On-site role based in Shanghai, China, with Shift 1 scheduling.
- Opportunities for technical development and career growth, coaching from senior engineers and leaders, and collaboration with engineers worldwide.
- Opportunity to work on cutting-edge compiler technologies and contribute to open-source communities.
About Intel
Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.