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.
- 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.