This Job Vacancy has Expired!

Performance Architect

Posted on Apr 5, 2021 by AMD

Austin, TX 78737
Retail Trade
Immediate Start
Annual Salary

An outstanding technical contributor and a passionate and dedicated Server Systems Performance Architect who is well informed on the latest trends in FSS/future server simulator development and analysis engineering. A staff-level or aspiring member of technical staff who can quickly determine, using data, how next generation server platforms and high-performance CPUs should be engineered to accelerate adoption of our EPYC processors across cloud, enterprise and HPC customers.

Key Responsibilities:

Impact microarchitecture exploration, performance modeling, and analysis for SoC designs that include next-generation CPU cores, memory technologies, scalable interconnects, and quality-of-service. Advance performance simulation methodologies for server CPU exploration and projection.

Propose solutions to improve and enhance performance using an intimate understanding of design architecture. Develop tools and methodologies for performance analysis of server workloads.

Collaborate in micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization. Communicate, propose, and implement solutions to processor and system performance issues.

Preferred Experience:

Experience with multi-core systems and multi-thread interactions

Experience with CPU, GPU, or computer system microarchitecture

Experience with the development and usage of computer system performance models

Experience with computer workload analysis

Strong programming skills, including experience with C++ and Python (or similar)

Minimum of BS + 7 years or MS + 5 years or PhD + 2 year plus proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering

Academic Credentials:

Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field

Masters or PhD with emphasis on Computer Architecture performance studies preferred

Reference: 1152697185

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