NVIDIA

NVIDIA

Posted via Workday

Principal Systems Software Engineer

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
2 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
15+ years of work experience in software development
Education
BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Sr. Principal Systems Software Engineer develops software to accelerate Apache Spark workloads on GPUs. The role focuses on Spark data processing, file I/O, and interoperability with table formats and metastores.

What You'll Do

  • Develop Java, Scala, and CUDA/C++ libraries to accelerate DataFrames and I/O operations for formats such as Parquet, ORC, and JSON.
  • Enable interoperability with Apache Iceberg, Delta Lake, and metastores such as Unity Catalog.
  • Contribute to open source libraries including NVIDIA cuDF, CCCL, and UCX through technical discussions and code contributions.
  • Collaborate with distributed systems teams on large-scale distributed processing challenges.
  • Provide recommendations on infrastructure, continuous integration, and testing strategy.
  • Build, test, and optimize CUDA/C++ libraries across platforms.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Requires a BS, MS, or PhD in Computer Science, Computer Engineering, or a closely related field, or equivalent experience; 15+ years of software development experience; expertise designing and implementing distributed systems; programming skills in C++, Java, and/or Scala; ability to work across organizational boundaries and geographies; familiarity with open source data platforms including Apache Spark, Velox, Presto, Apache Arrow, and Apache DataFusion; and strong interpersonal skills.

Required

  • Meaningful contributions to the open source community are a plus.
  • Database query optimization is a strong plus.

Preferred

  • Meaningful contributions to the open source community are a plus.
  • Database query optimization is a strong plus.

Original job description

Content provided by the employer

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 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.

#deeplearning
NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.