Role at a glance
- Salary
- $272K – $431.3K/yr
- 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)
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Role Summary
The Sr. Principal Systems Software Engineer will join NVIDIA’s Apache Spark Acceleration group, developing GPU-accelerated software for large-scale data processing and batch ETL workloads. The role contributes to NVIDIA’s open-source RAPIDS Spark ecosystem and works with libraries and distributed systems teams to improve Spark performance across cloud and on-premise deployments.
What You'll Do
- Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations for formats including 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 at large scale
- Provide recommendations and feedback regarding infrastructure, continuous integration and testing strategy
- Build, test and optimize CUDA/C++ libraries across different platforms
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong programming skills in C++, Java, and/or Scala; experience designing and implementing high-quality distributed systems; ability to work across organizational boundaries and geographies; familiarity with the open source data platform ecosystem; strong interpersonal skills.
Required
- Strong programming skills in C++, Java, and/or Scala
- Designing and implementing high-quality distributed systems
- 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.)
- Highly motivated with strong interpersonal skills
Preferred
- Meaningful contributions to the OSS community
- Database query optimization
Original job description
Content provided by the employer
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
You will also be eligible for equity and benefits.
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.#deeplearningAbout 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.
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.