Staff Quality Data Engineer - Diagnostics and Telemetry

AMD

Secaucus, NJ

Full Time

Senior

21 days ago

Job Description

About 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. AMD's Data Center Platform Engineering Group creates cloud-enabling server solutions for leading companies, focusing on innovation, problem-solving, and building powerful products with diverse teams. The company culture emphasizes pushing the limits of innovation, execution excellence, humility, collaboration, and inclusivity.

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 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.

Requirements

Strong understanding of server-level hardware and software architecture.
Proficiency in data engineering tools and methodologies.
Experience with Python, SQL, and JSON query languages (e.g., JavaScript).
Experience with data warehousing and data modeling.
Knowledge of data security and compliance with data protection regulations.
Excellent communication and presentation skills.
Experience with data integration, performance optimization, and troubleshooting data pipelines.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Experience with data visualization tools such as Power BI, Tableau, or Grafana.
Experience with Snowflake, Databricks, Apache Spark, and ETL pipelines.
Bachelor's degree in Electrical, Computer, or Software Engineering, Applied Mathematics, or a related field.
Extensive experience with server component-level diagnostics and data analysis.
Detailed knowledge of server and silicon-level architecture in GPU compute products.

Nice to Have

In-depth knowledge of workload optimizations.
Skills in monitoring and logging data pipeline performance.
Experience with data integration tools like Apache NiFi or Talend.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Experience with server component diagnostics and data analysis in GPU compute products.

Qualifications

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

Benefits & Perks

AMD benefits at a glance.

Working at AMD

AMD cares deeply about transforming lives with technology, pushing the limits of innovation, and fostering a culture of execution excellence, humility, collaboration, and inclusivity. The company values diverse perspectives and strives to solve the world's most important challenges through its innovative products and team-oriented environment.

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