CPU Compiler and Performance Architect, Devices and Services

작업 내용

Google welcomes people with disabilities.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Banqiao District, New Taipei City, Taiwan 220; Xindian District, New Taipei City, Taiwan.Minimum qualifications:

• Master’s degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 3 years of experience in backend compiler design for CPU scalar and vector engines.
• Experience with LLVM internals, back-end specifics, compiler loop improvement, resource management, scheduling, code generation.
• Experience in C or C++ and in Python or other scripting languages.
  
  

Preferred qualifications:

• 7 years of experience in compiler design for CPU scalar and vector engines.
• Experience with hardware architectures of CPU scalar and vector engines, including vector engines with machine learning support.
• Experience with the following technologies: XLA, TVM, MLIR, LLVM, deep learning models, and algorithms.
• Experience with CPU pipeline structure and hazards, cache, and memory organization.
• Expertise in LLVM scalar and vector code generation including instruction scheduling, software pipelining, register allocation, TableGen, LLVM IR, Machine IR.
  
  

About The Job

As a CPU Compiler and Performance Architect, you’ll be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and to deliver Google’s advanced SoC products. You will collaborate with system performance and software teams to plan and conduct application and benchmark performance analysis and to project their performance at various design phases. Leveraging your CPU-specific knowledge and leadership, you’ll help guide junior CPU architects and work with engineers in power, thermal, security, physical design, and other subsystem teams to determine the CPU subsystem configuration and features, and to support the integration of CPU subsystem into the SoCs.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people’s lives better through technology.

Responsibilities

• Work as a member of a compiler and performance team for next generation CPU.
• Contribute to LLVM (low level virtual machine) compiler effort.
• Deliver custom compiler for both scalar and vector or machine learning engines, including loosely coupled vector engines when required.
• Identify actionable performance opportunities in compiler generated code or libraries, which may involve workload analysis and performance exploration.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .