Performance Architect

Samsung•Austin, TX

1d•Onsite

About The Position

Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL) is building a center of excellence for Intellectual Property (IP) applied to high-performance computing devices. As a Performance Architect within the System IP team, you will design and optimize the performance of System IP, balancing requirements from key system components like CPU, GPU, and other IP blocks. This involves developing and maintaining performance models, analyzing system performance, and identifying optimization opportunities to improve overall system efficiency. Expertise in performance modeling, analysis, and C++ coding is essential. This role can be hired at various levels based on individual background, experience, and skillset.

Requirements

10+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 8+ years of experience with a Master’s Degree, or 6+ years of experience with a Ph.D.
Expertise in performance modeling, analysis, and optimization, with a focus on System IP components.
Strong C++ coding skills, with experience with cycle-accurate performance models and analysis tools.
Strong understanding of computer architecture, microarchitecture, and system-level performance optimization.
Excellent analytical and problem-solving skills, with the ability to identify and optimize performance bottlenecks.
Strong technical leadership and mentoring skills, with experience guiding junior engineers.

Nice To Haves

Professional experience in memory subsystem or interconnect, with knowledge of memory hierarchy, memory access patterns, bandwidth, and latency optimization.
Programming skills in Python or R, with experience in data analysis, visualization, and automation.
Familiarity with emerging technologies, such as AI, ML, and autonomous systems, and their impact on System IP performance.

Responsibilities

Develop and maintain cycle-accurate C++ performance models for System IP components.
Analyze system performance using various metrics, such as latency, throughput, and power consumption, to identify bottlenecks and optimization opportunities.
Create and run benchmarks to characterize system performance and identify areas for improvement.
Build and maintain performance analysis tools.
Collaborate with cross-functional teams, including architecture, design, and software teams, to identify and implement performance optimization opportunities.
Provide technical guidance and mentorship to junior engineers and contribute to the development of best practices and standards for performance modeling and analysis.
Work closely with other teams, including CPU, GPU, and SoC architecture teams, to ensure that System IP components meet performance and power requirements.