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AMD Logo AMD · IT - Software Development

Sr. Software Developer

United States, San Jose 119200.00 - 178800.00 USD / Year · Job Posted March 19, 2026
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Job Description

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

Job Responsibility

  • 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

Requirements

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