Principal Systems Software Engineer
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $272,000 to $431,250
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (22 min ago) · observed since
All places named
- Santa Clara, CA
- Champaign, IL
About this job
NVIDIA is seeking a Sr. Principal Systems Software Engineer for the Apache Spark Acceleration group. GPU accelerated data processing has moved from proof of concept to production deployments. Enterprises now recognize the need for accelerated computing to handle large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads.
At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related. You will work with a team that is using open source libraries like cuDF to accelerate reading, writing and batch data operations in Spark.
What you'll be doing:
Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON
Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions
Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale
Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy
Build, test and optimize CUDA/C++ libraries across different platforms
What we need to see:
BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)
15+ years of work experience in software development
Outstanding technical skills in designing and implementing high-quality distributed systems
Excellent programming skills in C++, Java, and/or Scala
Ability to work with teams across organizational boundaries and geographies
Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.). Meaningful contributions to the OSS community a plus.
Highly motivated with strong interpersonal skills
Database query optimization is a strong plus
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearningSource: NVIDIA on Workday · View original posting (opens in new tab)
This listingPrincipal Systems Software Engineer$272,000 to $431,250
Senior Director, Procurement Operations and Systems$272K to $414K
Principal Research Scientist, Synthetic Data Generation$272,000 to $431,250
Senior Manager, AI and HPC Cluster Engineering Enablement$272,000 to $488,750
Senior Engineering Manager, Object Storage - DGX Cloud$272,000 to $431,250
Senior Manager, Developer Infrastructure and Build Engineering$272,000 to $431,250
Principal CPU Architect - High-Performance and Physical Design$272,000 to $431,250
Chart as a table
| Role | Published base |
|---|---|
| Principal Systems Software Engineer (this listing) | $272,000 - $431,250 |
| Senior Director, Procurement Operations and Systems | $272K - $414K |
| Principal Research Scientist, Synthetic Data Generation | $272,000 - $431,250 |
| Senior Manager, AI and HPC Cluster Engineering Enablement | $272,000 - $488,750 |
| Senior Engineering Manager, Object Storage - DGX Cloud | $272,000 - $431,250 |
| Senior Manager, Developer Infrastructure and Build Engineering | $272,000 - $431,250 |
| Principal CPU Architect - High-Performance and Physical Design | $272,000 - $431,250 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara • US, IL, Champaign
base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
