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AI/ML Server Performance Architect

2 months ago

Austin, United States AMD Full time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ AI/ML Server Performance Architect THE ROLE: In the Data center Server Solutions Group AI Performance Architect who will be engaged in data driven design and analysis to advance application performance of AI/ML on server systems THE PERSON: As an AI/ML performance architect you will work on new trends and requirements in datacenter AI/ML areas and identify performance bottlenecks, translate them into hardware requirements for future products. You will have deep subject matter expertise in key AI domains and successfully influence data center solutions. KEY RESPONSIBILITIES: Lead and analyze cutting-edge trends and requirements of DL/ML models in the data center segment Design/explore system level trade-offs on compute/ memory/ capacity and network on current and future generation AI HW/SW products Project AI application performance from proposed design changes Implement different optimized solutions and compare against expected “roofline” behavior. Optimize models to deploy on heterogeneous platform through quantization, partitioning as well as accuracy trade-offs to hit target KPIs Analyze performance of AI workloads on silicon and architecture models to identify performance limiters Build performance tools and infrastructure for automation and accelerating analysis of application performance PREFERRED EXPERIENCE: Proven experience in AI workload development and subject matter expertise at least in one area (LLMs, Vision or Recommendation systems) Experience in performance analysis, performance tool development and performance projections Experience programming and porting models in DL frameworks (such as Pytorch and Tensorflow) Experience in Quantization flows such as QAT, PTQ, Fine tuning/ transfer learning Prefer background course work in computer architecture and system performance analyses Optional experience in CUDA programming as well as any Huggingface pipeline development Quickly grasp new concepts and technologies Strong communication, interpersonal team work skills and data organization skills through presentations, excel and document organization/automation Can operate with focus and be results-oriented with ability to handle ambiguity ACADEMIC CREDENTIALS: Masters or higher degree in relevant fields, i.e. Computer Science, Electrical Engineer, Computer Engineering Publications in AI and Architecture domains a plus #LI-Hybrid #LI-RW1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AI/ML Server Performance Architect THE ROLE: In the Data center Server Solutions Group AI Performance Architect who will be engaged in data driven design and analysis to advance application performance of AI/ML on server systems THE PERSON: As an AI/ML performance architect you will work on new trends and requirements in datacenter AI/ML areas and identify performance bottlenecks, translate them into hardware requirements for future products. You will have deep subject matter expertise in key AI domains and successfully influence data center solutions. KEY RESPONSIBILITIES: Lead and analyze cutting-edge trends and requirements of DL/ML models in the data center segment Design/explore system level trade-offs on compute/ memory/ capacity and network on current and future generation AI HW/SW products Project AI application performance from proposed design changes Implement different optimized solutions and compare against expected “roofline” behavior. Optimize models to deploy on heterogeneous platform through quantization, partitioning as well as accuracy trade-offs to hit target KPIs Analyze performance of AI workloads on silicon and architecture models to identify performance limiters Build performance tools and infrastructure for automation and accelerating analysis of application performance PREFERRED EXPERIENCE: Proven experience in AI workload development and subject matter expertise at least in one area (LLMs, Vision or Recommendation systems) Experience in performance analysis, performance tool development and performance projections Experience programming and porting models in DL frameworks (such as Pytorch and Tensorflow) Experience in Quantization flows such as QAT, PTQ, Fine tuning/ transfer learning Prefer background course work in computer architecture and system performance analyses Optional experience in CUDA programming as well as any Huggingface pipeline development Quickly grasp new concepts and technologies Strong communication, interpersonal team work skills and data organization skills through presentations, excel and document organization/automation Can operate with focus and be results-oriented with ability to handle ambiguity ACADEMIC CREDENTIALS: Masters or higher degree in relevant fields, i.e. Computer Science, Electrical Engineer, Computer Engineering Publications in AI and Architecture domains a plus #LI-Hybrid #LI-RW1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Tags: No, USD $165,060.00/Yr., USD $235,800.00/Yr., US Careers (External)