CPU Performance Modeling Architect

Qualcomm Data Center team is developing High performance, Energy efficient server solution for data center applications. We are looking for highly talented, innovative, teamwork-oriented individuals for our cutting-edge technology work!

Our CPU Performance Architecture group designs high performance, low power CPUs.  As a CPU Performance Modeling Architect , you will contribute ideas for advanced CPU performance features, explore them in detail, model them, and work with the design team in productizing them. We are looking for an experienced engineer for CPU performance modeling and exploration.

Roles and Responsibilities

• Proficiency in one or more areas of CPU architecture: fetch, decode, branch prediction, renaming, execute units, SIMD, load/store, MMU, caches, retire, etc.
• Knowledge of OS internals and compiler technology a plus
• Collaborate with CPU Performance Architecture and RTL team members to identify opportunities for product improvement
• Analyze workloads to identify performance bottlenecks and opportunities
• Perform self-guided performance simulation studies of design alternatives
• Write and maintain features and sections of the CPU architectural performance model
• Work with RTL and design team to assess implementation cost for new features
• Collaborate with performance team to maintain and improve the simulation environment for increased productivity

Preferred qualifications

• MS degree in Computer Architecture with 10+ years of practical experience
• Strong CPU architecture knowledge and micro-architecture knowledge
• Experience working in a performance modeling environment
• Proficient in C and C++ and scripting languages such as Perl or Python
• Ability to problem solve and prove your own ideas
• Knowledge and experience with common performance benchmarks and workloads

Required Qualifications

• Bachelor's degree in Electrical Engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.

OR

• Master's degree in Electrical Engineering, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.

OR

• PhD in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.