Memory Subsystem Performance Architect

The infrastructure IP Team consists of a multi-disciplinary group involved in the definition and design of Platform infrastructure HW components such as Memory controllers, System cache, System MMU and Interconnect that are implemented in all Qualcomm SoCs. This position primarily involves studying System Performance using cycle-accurate/approximate models and support both Infra IP level u-architecture optimizations as well as System level application performance verification. The ideal candidate should demonstrate the ability to understand the HW u-architecture of the Infrastructure components involved, in particular the memory system and interconnect, identify performance bottlenecks; define experiments and conduct data-driven performance analyses and debug using simulation; Ability to partner effectively with IP designers, Design Verification teams and System performance architects.

Key Deliverables:

• Modeling and analysis of system cache, memory controller scheduling algorithms, and features
• Develop tests, testplans and testing infrastructure for new architecture/features
• Conduct in-depth analysis of product requirement dashboards, CPU and GPU benchmarks to identify memory bottlenecks and areas for improvement.
• Demonstrates good understanding of and conducts research on industry trends and innovations in memory subsystem to ensure solutions and deliverables align with best practices.
• Mentor young engineers and encourage good coding and performance analysis practices
• Drive model development best practices, coding guidelines and process automations

Preferred Qualifications

• Self-driven, methodical and process oriented.
• Excellent oral and written communication
• Sound understanding of System interconnect, Caches and Memory Technologies (e.g. LPDDR4/5)
• Experience with SoC Performance analysis and debug in pre and/or Post-Silicon environments
• Good understanding of QoS concepts
• Good handle in Object oriented programming and general SW debug (C++)
• Strong scripting skills (Perl/Python)
• Experience with data analysis using Excel, R, Python etc.