Staff Quality Data Engineer - Diagnostics and Telemetry

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.

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THE ROLE:

We are seeking a Staff Quality Data Engineer - Diagnostics and Telemetry for AMD's Quality Engineering team. You will lead efforts in designing our test diagnostics telemetry data collection to enhance our understanding of test failures that impact product quality. You will be able to learn complex testing methodologies and understand how existing diagnostics can be integrated effectively to provide Engineering teams with new insights into failure data.

AMD's Data Center Platform Engineering Group {DPEG} is designing, building and delivering innovative technology infrastructure enabling the digital world. We create cloud-enabling server solutions that help the world's leading companies turn their ideas into reality. Our customers are future-focused and so are we, always a step ahead of the next challenge. As experts in engineering, manufacturing, and supply chain, we're the bridge between problem and solution for the world's leading cloud and telecom providers. Our customers depend on us to solve their most complex server design needs. Come and join our Data Center Platform Engineering Group where we are building amazing, powered products with amazing people.

THE PERSON:

You are a highly motivated engineer with a passion for test diagnostics data and a proven track record of delivering results in a fast-paced environment. You have a strong understanding of server-level hardware and software architecture and are proficient in data engineering tools and methodologies. You are also a team player with excellent communication and presentation skills.

KEY RESPONSIBILITIES:

• Collaborate with Engineering and Test Development teams to define log reporting schemas and understand critical data collection needs.
• Ensure proper implementation of data collections across multiple manufacturing sites, funneling data into a centralized database.
• Develop and optimize ETL pipelines to process and analyze large volumes of diagnostic telemetry data.
• Work with test Diagnostics teams and Firmware teams to understand the low-level diagnostics data and use cases to build meaningful analytics.
• Integrate new diagnostics and telemetry collections into the test flow.
• Partner with IT to develop methodologies for collecting logs from various factories in a centralized location to build robust databases.
• Design and maintain data infrastructure using Snowflake, Databricks, Apache Spark, and other relevant technologies.
• Implement data quality assurance processes to ensure data accuracy and reliability.
• Collaborate with cross-functional teams to ensure data accuracy and integrity, driving improvements for current and future designs.
• Identify, design, and implement internal process improvements for greater scalability and efficiency.
• Create and maintain documentation for data processes and infrastructure.

PREFERRED EXPERIENCE:

• In-depth knowledge of Snowflake, Databricks, Apache Spark, workload optimizations, and ETL pipelines.
• Highly experienced with Python, SQL, and JSON query languages (e.g., JavaScript).
• Proficiency with Power BI, Tableau, Grafana, or similar data visualization tools.
• Experience with data warehousing and data modeling.
• Strong skills in data integration and ensuring data consistency and integrity.
• Expertise in performance optimization for data processing workloads.
• Knowledge of data security and compliance with data protection regulations.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Proficiency with data integration tools like Apache NiFi or Talend.
• Skills in monitoring and logging data pipeline performance and troubleshooting issues.
• Self-motivated with a passion for data engineering and diagnostics.
• Excellent communication and presentation skills, with a proven track record of delivering results in a fast-paced environment.
• Extensive experience with server component-level diagnostics and data analysis.
• Detailed knowledge of server and silicon-level architecture in GPU compute products.

ACADEMIC CREDENTIALS:

• Bachelor's degree in Electrical, Computer, or Software Engineering, Applied Mathematics, or a related field.

OTHER LOCATIONS:

• Austin, TX

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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.