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AI-Focused Software Engineer, Data Systems

Summary

Build and optimize petabyte-scale data infrastructure for AI training, using Python, Kubernetes, and distributed systems to ensure data integrity and performance.

Be at the forefront of AI advancement as a Software Engineer focusing on Data Systems. Tackle unique challenges with petabyte-scale storage and help drive data integrity in AI training. This position is ideal for someone with over 4 years of experience in data infrastructure. Your expertise in Python and Kubernetes, combined with a passion for AI, will contribute significantly to creating a powerful data layer. Engage directly with talented engineers and researchers while solving the complexities of data storage. Key Responsibilities: • Design and enhance petabyte-scale data infrastructures • Solve networking and performance issues effectively • Collaborate with elite research teams in AI • Convert unstructured data into optimized stores • Use tools like BigQuery and Airflow as needed Requirements: • 4+ years in data storage experience • Strong programming skills in Python • Experience with Kubernetes storage components • Knowledge of distributed data processing platforms • Enthusiasm for AI and its developments Shape the future of AI through innovative data infrastructure solutions in this unique software engineering role.

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