DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.
Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI
April 15
DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.
Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI
• Lead design and optimization of data execution engines for AI data workflows. • Develop systems for high-throughput data access and transformation. • Engineer integration layers for compatibility with open-source clients. • Optimize performance of distributed query execution and data storage. • Contribute to open-source ecosystems and collaborate on innovations. • Provide technical leadership and mentorship to team members.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 12+ years of experience in software development, with 5+ years in distributed systems, data platforms, or big data technologies. • Expert-level knowledge of Java, Python, and SQL. • Deep understanding of file formats including Parquet, ORC, Avro, and performance characteristics. • Experience with Apache Spark, distributed query engines, or distributed databases. • Strong familiarity with HDFS, Hive Metastore, and data partitioning strategies.
• Equal Opportunity/Affirmative Action employer • Comprehensive benefits package with health, retirement, and paid time off
Apply NowApril 15
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