Software Engineer - Analytics and Data Intelligence

We are seeking outstanding engineers and scientists to join NVIDIA's Analytics and Data Intelligence (ADI) team. You will employ your parallel programming skills to accelerate open-source software libraries for GPU data processing, supporting high-performance structured data processing on various hardware configurations.

Responsibilities:

• Create and improve C++ and CUDA libraries for high-performance data processing
• Accelerate operations such as data loading, parsing, joins, aggregations, I/O, data movement, memory management, and concurrency optimization
• Collaborate with the Sales/DevRel team to support partner integration, PoCs, performance tuning, and production issue resolution
• Implement highly performant solutions for warehouse and Lakehouse workloads
• Work with a globally distributed team to drive software initiatives from architecture to delivery
• Apply deep experience with data analytics and ETL ecosystems to optimize GPU-accelerated data processing pipelines

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience
• 15+ years of relevant software engineering experience
• Proven proficiency in C++ and CUDA programming
• Strong knowledge of data processing, data analytics, and storage environments
• Deep expertise in at least one of: distributed storage, database/query engine internals, high-performance I/O, accelerated computing, or large-scale data platforms

Preferred Qualifications:

• Familiarity with RAPIDS cuDF
• Familiarity with S3, Parquet, and Iceberg
• Experience with cross-stack performance optimization
• Proven ability to diagnose and resolve production issues in complex distributed systems
• Ability to define technical direction and personally implement critical components

NVIDIA offers highly competitive salaries and a comprehensive benefits package. Visit www.nvidiabenefits.com/ for more information.