✦ Luna Orbit — Data & Analytics

Sr. Software Developer

at Advanced Micro Devices

📍 San Jose, California, United States Hybrid Posted March 14, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing high-performance data pipelines for AI and analytics, focusing on large-scale data ingestion, transformation, and operationalization of AI models.

  • Build AI-ready data pipelines
  • Model data relationships
  • Operationalize anomaly detection
  • Enable LLM/SLM use cases
  • Deliver batch and streaming pipelines

The technical environment includes Apache Iceberg, Spark, Linux, and AI/ML workflows, with an emphasis on scalable, reliable, and real-time data processing pipelines.

The ideal candidate is a data engineer with experience in building scalable data pipelines using Apache Iceberg and Spark, with a strong understanding of AI/ML workflows, data governance, and model operationalization.

Building AI-ready data pipelinesExperience with Apache IcebergDesigning scalable ingestion workflowsExperience with Spark or similar enginesOperationalizing anomaly detection
Experience with LLMs/SLMsTraining and finetuning modelsPredictive analytics
Apache IcebergSparkLinux
Data pipelinesApache IcebergAI/MLSparkstreaming datadata governancemetadata managementdata lineagePythonSQL
Data PipelinesApache IcebergAI/MLSparkStreaming DataData GovernanceMetadata ManagementData LineagePythonSQL
CommunicationSystem DesignCollaborationProblem-solvingReliability
Industry Semiconductors & Chip Manufacturing
Job Function Data engineering and pipeline development
Role Subtype Data Engineer
Tech Domains Apache Iceberg, Linux, Spark
Clearance Required None
Visa Sponsorship No
data pipelinesApache IcebergAI/MLsparkstreaming datadata governancemetadata managementdata lineagepythonsqlanomaly detectionlarge language modelsfinetuningpredictive analyticsdata engineeringdata pipelines at scalerealtime processinglakehousedata qualityLinuxSQL

Lack of experience with Apache Iceberg, No experience with Spark or similar engines, No background in data engineering or pipelines

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