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WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.Together, we advance your career.

THE ROLE:

You will architect and deliver high‑performance data ingestion and AI‑ready pipelines across AMD’s lakehouse environment (Apache Iceberg). Your work will shape how enterprise data connects, relates, and becomes useful for analytics and AI/ML. You’ll partner with platform engineers, data scientists, and technical leaders to curate AMD‑specific corpora, unify signals across storage, network, and operations, and operationalize models that infer root causes and improve decision‑making

THE PERSON:

You are a hands‑on AI builder with a track record of delivering real AI solutions— not just experiments. You think in systems, design for scale and reliability, and communicate clearly with both technical and business partners. You thrive on transforming messy, disparate data into trustworthy, AI‑ready knowledge and services.

KEY RESPONSIBILITIES:

• Build AI‑ready data pipelines: Design scalable ingestion and transformation workflows for structured and unstructured data in Apache Iceberg, enabling schema evolution, partitioning, and performance optimization.

• Model data relationships across platforms: Connect signals across storage, network, and applications to enable cross‑system anomaly tracing and contextual insights.

• Operationalize anomaly detection and inference: Implement pipelines/services that detect anomalies, enrich events, route signals to LLM/SLM models, and surface probable root causes.

• Enable LLM/SLM use cases on AMD data: Curate domain‑specific corpora, define retrieval/feature pipelines, and support training, fine‑tuning, and evaluation workflows.

• Deliver batch and streaming pipelines at scale: Build near real‑time and scheduled processing using Spark or similar engines with a focus on reliability and low latency.

• Ensure governance, lineage, and quality: Apply metadata, lineage, and data‑quality checks across pipelines; maintain CI/CD processes and versioned codebases.

• Lead platform stewardship: Operate and troubleshoot Linux‑based environments; monitor lakehouse performance and cost.

PREFERRED EXPERIENCE:

• Delivered production‑grade AI solutions (anomaly detection, inference, predictive analytics).

• Hands‑on work with LLMs/SLMs, including training, fine‑tuning, evaluation, or retrieval‑augmented workflows.

• Strong Python and SQL; experience with Spark and the Hadoop ecosystem.

• Building Iceberg (or similar) table formats with schema evolution and performance tuning.

• Designing data models that relate signals across storage, networking, and operations.

• Experience with data governance, metadata/lineage, data‑quality automation, and CI/CD for data/ML.

• Linux systems expertise, shell scripting, and performance troubleshooting.

ACADEMIC CREDENTIALS:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field preferred.

This role is not eligible for visa sponsorship.

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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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

THE ROLE:

You will architect and deliver high‑performance data ingestion and AI‑ready pipelines across AMD’s lakehouse environment (Apache Iceberg). Your work will shape how enterprise data connects, relates, and becomes useful for analytics and AI/ML. You’ll partner with platform engineers, data scientists, and technical leaders to curate AMD‑specific corpora, unify signals across storage, network, and operations, and operationalize models that infer root causes and improve decision‑making

THE PERSON:

You are a hands‑on AI builder with a track record of delivering real AI solutions— not just experiments. You think in systems, design for scale and reliability, and communicate clearly with both technical and business partners. You thrive on transforming messy, disparate data into trustworthy, AI‑ready knowledge and services.

KEY RESPONSIBILITIES:

• Build AI‑ready data pipelines: Design scalable ingestion and transformation workflows for structured and unstructured data in Apache Iceberg, enabling schema evolution, partitioning, and performance optimization.

• Model data relationships across platforms: Connect signals across storage, network, and applications to enable cross‑system anomaly tracing and contextual insights.

• Operationalize anomaly detection and inference: Implement pipelines/services that detect anomalies, enrich events, route signals to LLM/SLM models, and surface probable root causes.

• Enable LLM/SLM use cases on AMD data: Curate domain‑specific corpora, define retrieval/feature pipelines, and support training, fine‑tuning, and evaluation workflows.

• Deliver batch and streaming pipelines at scale: Build near real‑time and scheduled processing using Spark or similar engines with a focus on reliability and low latency.

• Ensure governance, lineage, and quality: Apply metadata, lineage, and data‑quality checks across pipelines; maintain CI/CD processes and versioned codebases.

• Lead platform stewardship: Operate and troubleshoot Linux‑based environments; monitor lakehouse performance and cost.

PREFERRED EXPERIENCE:

• Delivered production‑grade AI solutions (anomaly detection, inference, predictive analytics).

• Hands‑on work with LLMs/SLMs, including training, fine‑tuning, evaluation, or retrieval‑augmented workflows.

• Strong Python and SQL; experience with Spark and the Hadoop ecosystem.

• Building Iceberg (or similar) table formats with schema evolution and performance tuning.

• Designing data models that relate signals across storage, networking, and operations.

• Experience with data governance, metadata/lineage, data‑quality automation, and CI/CD for data/ML.

• Linux systems expertise, shell scripting, and performance troubleshooting.

ACADEMIC CREDENTIALS:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field preferred.

This role is not eligible for visa sponsorship.

#LI-LC2
#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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.