Compiler Performance Engineer
Intel
Intel is also hiring for this role in Canada, Toronto.
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What performance roles keep asking for: Python (23%), C++ (18%), Paid media (15%) — counted across their open postings here.
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Questions you are likely to be asked
- Why do you want to join Intel?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Compiler Performance Engineer at Intel interview free →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.
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Listed on workday · posted 2026-10-21. ApplySarthi collects openings and links to application pages; the role is advertised by Intel, not by us.