# Software Engineer - Analytics and Data Intelligence

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Principal-Software-Engineer--Distributed-Query-Engines---Analytics-and-Data-Intelligence_JR2026418?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a4997d6b-dd3

## Description

NVIDIA's Analytics and Data Intelligence (ADI) team is seeking outstanding engineers and scientists to accelerate open-source software libraries for GPU data processing. You will develop highly optimized C++ and CUDA libraries to support 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, and I/O optimization

- Collaborate with the Sales/DevRel team to support partner integration and performance tuning

- 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

- 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 the following: 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

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

## Skills

### Required
- C++
- CUDA
- data processing
- data analytics
- distributed storage
- database/query engine internals
- high-performance I/O
- accelerated computing

### Nice to have
- RAPIDS cuDF
- S3
- Parquet
- Iceberg
- cross-stack performance optimization

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Principal-Software-Engineer--Distributed-Query-Engines---Analytics-and-Data-Intelligence_JR2026418?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)