Memory Validation and Data Analysis Engineer – Data Center GPU

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_ THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: The Datacenter Graphics and Accelerated Computing Validation Team is looking for a dynamic and energetic engineer to join our growing post-silicon validation team. The responsibility of Memory validation Data analytics is to collect, analyze, and interpret data to uncover meaningful insights and patterns that drive informed decision-making and strategic business goals. The dataset of various Memory defects, bugs and issues comes from various sources of Manufacturing and High-Volume labs while running Machine Learning (ML), and High-Performance Computing (HPC) workloads. In this role, validation engineer is the critical interface between cross-functional Product Engineering, Quality, Reliability & Platform teams, and enable mass production of Data Center GPU for customer deliveries. The validation team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.   THE PERSON: An experienced self-starter who can work independently and collaborate with cross-function teams to debug and resolve issues. As a valued team member, you are expected to lead by example, and mentor junior engineers. You should be hands-on with new hardware and software tools and comfortable working with global teams. The sought-after candidate possess good knowledge of various Memory technologies (HBM, LPDDR), including SoC memory architecture, Unified Memory controller, PHY design and high speed IO interface, DRAM device, and associated calibration/training mechanisms. KEY RESPONSIBILITIES: Analyze, Cleanse & Interpret, Visualize & Create interactive Dashboard, Prepare & Communicate Reports, of large volume and manufacturing data of Data Center GPU production line Develop Python scripts to extract data from various data engineering and infrastructure sources Able to articulate and communicate findings, make recommendations to datacenter project management and infrastructure teams Extraordinary leadership skills and ability to inspire team members with an innate ability to see the bigger picture. Ability to understand complex technical discussions, extract action plans, and to succinctly summarize complex details for executive reporting Experience working with major DRAM memory vendors and validation of DRAM device is a plus.   PREFERRED EXPERIENCE: Experience in SoC or Platform validation, verification and debug of High-Bandwidth Memory sub-system 5+ years' experience mining data (including time-series) as a data analyst, analytics engineer, or business intelligence engineer Knowledge of datacenter, medium/large-size computing laboratory, or cluster management operations Experience with data analytics, visualizations, and report generation (PowerBI, Thoughtspot, Excel, JMP) Experience writing code in Python or similar languages, SQL, and APIs to extract data from warehouses in places like Postgres, Databricks, or Snowflake for high-availability, low-latency enterprise solutions Experience in development, monitoring, and debugging pipelines for batch, microbatch, real-time, and streaming products at enterprise scale Strong technical writing and communication skills Able to work as a team and work efficiently in a dynamic environment and on multiple projects ACADEMIC CREDENTIALS: Bachelors or Masters degree in Electrical or Computer Engineering, Computer Science   LOCATION: Austin, TX #LI-SL2 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. 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.

THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: The Datacenter Graphics and Accelerated Computing Validation Team is looking for a dynamic and energetic engineer to join our growing post-silicon validation team. The responsibility of Memory validation Data analytics is to collect, analyze, and interpret data to uncover meaningful insights and patterns that drive informed decision-making and strategic business goals. The dataset of various Memory defects, bugs and issues comes from various sources of Manufacturing and High-Volume labs while running Machine Learning (ML), and High-Performance Computing (HPC) workloads. In this role, validation engineer is the critical interface between cross-functional Product Engineering, Quality, Reliability & Platform teams, and enable mass production of Data Center GPU for customer deliveries. The validation team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.   THE PERSON: An experienced self-starter who can work independently and collaborate with cross-function teams to debug and resolve issues. As a valued team member, you are expected to lead by example, and mentor junior engineers. You should be hands-on with new hardware and software tools and comfortable working with global teams. The sought-after candidate possess good knowledge of various Memory technologies (HBM, LPDDR), including SoC memory architecture, Unified Memory controller, PHY design and high speed IO interface, DRAM device, and associated calibration/training mechanisms. KEY RESPONSIBILITIES: Analyze, Cleanse & Interpret, Visualize & Create interactive Dashboard, Prepare & Communicate Reports, of large volume and manufacturing data of Data Center GPU production line Develop Python scripts to extract data from various data engineering and infrastructure sources Able to articulate and communicate findings, make recommendations to datacenter project management and infrastructure teams Extraordinary leadership skills and ability to inspire team members with an innate ability to see the bigger picture. Ability to understand complex technical discussions, extract action plans, and to succinctly summarize complex details for executive reporting Experience working with major DRAM memory vendors and validation of DRAM device is a plus.   PREFERRED EXPERIENCE: Experience in SoC or Platform validation, verification and debug of High-Bandwidth Memory sub-system 5+ years' experience mining data (including time-series) as a data analyst, analytics engineer, or business intelligence engineer Knowledge of datacenter, medium/large-size computing laboratory, or cluster management operations Experience with data analytics, visualizations, and report generation (PowerBI, Thoughtspot, Excel, JMP) Experience writing code in Python or similar languages, SQL, and APIs to extract data from warehouses in places like Postgres, Databricks, or Snowflake for high-availability, low-latency enterprise solutions Experience in development, monitoring, and debugging pipelines for batch, microbatch, real-time, and streaming products at enterprise scale Strong technical writing and communication skills Able to work as a team and work efficiently in a dynamic environment and on multiple projects ACADEMIC CREDENTIALS: Bachelors or Masters degree in Electrical or Computer Engineering, Computer Science   LOCATION: Austin, TX #LI-SL2 #LI-HYBRID

Benefits offered are described: AMD benefits at a glance. 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 $111,440.00/Yr., USD $159,200.00/Yr., US Careers (External)