Senior Compiler Engineer (GPU)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Compiler Engineer (GPU): Developing and optimizing compiler software for 's GPU programming models with an accent on intermediate representation (IR) design and performance tuning. Focus on collaborating with hardware architects to define future ISA features and driving innovations in AI and high-performance computing.
Location: Must be based in the US (Santa Clara, CA). This role follows a hybrid work model.
Salary: $149,600–$284,580 USD
Company
A global leader in semiconductor technology, driving innovation in AI, data center, and client computing through foundational software and hardware solutions.
What you will do
- Develop, test, and maintain compiler software for GPU programming models like SYCL, OpenCL, and OpenMP.
- Design and integrate IR interfaces between front-end components and the Graphics Compiler.
- Implement optimization algorithms to maximize code performance and efficiency.
- Collaborate with hardware architects to define microarchitecture features and ISA for future GPUs.
- Analyze generated code to identify bottlenecks and propose compiler or hardware enhancements.
- Author technical specifications and contribute to patentable innovations.
Requirements
- Must be based in the US.
- Bachelor’s degree in Computer Science, Engineering, or a STEM-related field.
- 5+ years of experience in C/C++ programming and object-oriented principles.
- 2+ years of experience in compiler architecture, compilation phases, and code optimizations.
- Experience with development tools like GitHub, Jira, and CMake.
- Proficiency in scripting languages such as Python or Shell.
- Experience developing software in both Linux and Windows environments.
Nice to have
- Post-graduate degree in a STEM field.
- Expertise in LLVM or MLIR.
- Knowledge of GPU programming models.
- Advanced performance tuning skills.
Culture & Benefits
- Competitive total compensation package including pay and stock bonuses.
- Comprehensive health and retirement benefit programs.
- Hybrid work environment allowing flexibility between on-site and off-site work.
- Opportunities to work on industry-leading AI and high-performance computing technologies.
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