Principal Software Engineer, Distributed Query Engines - Analytics and Data Intelligence - Shanghai, China
Originally posted 6 October 2026 by the employer.
Develop highly optimized C++ and CUDA libraries for GPU data processing within NVIDIA’s Analytics and Data Intelligence (ADI) team.
About the role
This role involves accelerating open-source software libraries for GPU data processing and supporting high-performance structured data processing on hardware from single workstations to rack-scale GPU supercomputers.
What you'll do
- Create and improve C++ and CUDA libraries for high-performance data processing, including end-to-end data paths from storage to GPU compute engines.
- Collaborate with the Sales/DevRel team to support partner integration, PoCs, performance tuning, and production issue resolution with partners.
- Implement highly performant solutions for warehouse and Lakehouse workloads across compute, networking, and distributed storage.
- Work with a globally distributed and highly technical team to drive software initiatives from architecture to delivery.
What you'll need
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
- Proven proficiency in C++ and CUDA programming.
- Strong knowledge of data processing, data analytics, and storage environments.
- Experience driving efficient I/O and data-movement paths across distributed/object storage, table formats (e.g., Iceberg, Parquet), Lakehouse architectures, and analytical engines.
Skills: distributed query engines, GPU data processing, C++ and CUDA libraries, data loading, parsing, joins, aggregations, Lakehouse workloads
This role has been open 0 days — well below the 40-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Storage Systems
|
Open roles in category
27
|
Median days open
40 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (27 roles · 10 employers) |
|---|---|---|
| Open roles in this specialty | 19 | 27 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5996 · 146 employers |
| Median days open | 39 d | 40 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: distributed query engines, GPU data processing, C++ and CUDA libraries, data loading, parsing, joins, aggregations, Lakehouse workloads
Who's hiring in this category
- NVIDIA (this employer) · 18 open roles · median 39 d
- Applied Materials · 1 open role · median 160 d
- Broadcom · 1 open role · median 138 d
- KLA Corporation · 1 open role · median 171 d
- Marvell Technology · 1 open role · median 2 d
- Qualcomm · 1 open role · median 42 d
How we counted: 27 open Infrastructure/Platform Software (Storage Systems) roles from 10 employers tracked in the SemiconductorJobs index, counted 6 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.