Principal Software Engineer, Distributed Query Engines - Analytics and Data Intelligence

Responsibilities

• Creating and improving C++ and CUDA libraries for high-performance data processing, including end-to-end data paths from storage to GPU compute engines
• Accelerating operations such as data loading, parsing, joins, aggregations, as well as I/O, data movement, memory management, and concurrency optimization
• Collaborating with the Sales/DevRel team to support partner integration, PoCs, performance tuning, and production issue resolution with partners in China
• Implementing highly performant solutions for warehouse and Lakehouse workloads across compute, networking, and distributed storage
• Working with a globally distributed and highly technical team to drive software initiatives from architecture to delivery
• Applying deep experience with data analytics and ETL ecosystems to optimize GPU-accelerated data processing pipelines
• What we need to see
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience in practice
• 15+ years of relevant software engineering experience, including substantial work in systems software, distributed data platforms, storage, databases, or accelerated computing
• Proven proficiency in C++ and CUDA programming

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