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

NVIDIA· Engineer, SW
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ShanghaiPosted 2w ago

About the role

Senior roles in NVIDIA’s Analytics and Data Intelligence team focused on building GPU-accelerated data processing libraries (C++/CUDA) for dataframe and database acceleration, spanning from storage to GPU compute, with emphasis on high-performance data processing, ETL pipelines, and distributed data platforms.

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

Qualifications

  • 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
  • Strong knowledge of data processing, data analytics, and storage environments
  • Deep expertise in at least one of the following: distributed storage, database/query engine internals, high-performance I/O, accelerated computing, or large-scale data platforms
  • Experience driving efficient I/O and data-movement paths across distributed/object storage, table formats (e.g., Iceberg, Parquet), Lakehouse architectures, and analytical engines
  • Familiarity with, or contributions to, SiriusDB, GPU-accelerated query engines, or related projects

Skills

Required:C++CUDAData processing / data analyticsDistributed storage / large-scale data platforms
Nice to have:I/O and data movement optimizationSiriusDB / GPU-accelerated query engines
Last updated Oct 9, 2026. Interested? Apply on the company site.

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