Principal Systems Software Engineer

NVIDIA Corporation; Santa Clara (CA); In loco; USD 272.000 - 431.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits package

Descrizione del lavoro

NVIDIA is seeking a Sr. Principal Systems Software Engineer in the Apache Spark Acceleration group. You will work on GPU-accelerated data processing and multi-node deployments to reduce costs and latency in ETL workloads.

The role focuses on developing Java, Scala and CUDA/C++ libraries to accelerate Spark DataFrames and I/O, while enabling interoperability with Iceberg, Delta Lake and Unity Catalog. Collaboration across OSS communities is expected.

Competenze

• BS, MS or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent).
• 15+ years of software development experience.
• Outstanding distributed systems design skills.
• Excellent C++, Java, and/or Scala programming abilities.
• Familiarity with open source data platform ecosystem (Spark, Velox, Presto, Arrow, DataFusion).

Mansioni

• Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O.
• Enable interoperability with Iceberg, Delta Lake, and Unity Catalog.
• Contribute to open source libraries like cuDF, CCCL and UCX.
• Collaborate with distributed systems teams to solve large-scale challenges.
• Provide feedback on infrastructure, CI and testing strategies.
• Build, test and optimize CUDA/C++ libraries across platforms.

Conoscenze

Distributed systems design

Java

Scala

C++

Formazione

BS/MS/PhD in Computer Science or Computer Engineering

Strumenti

CUDA/C++ libraries

NVIDIA cuDF

UCX

CCCL

Apache Spark

Descrizione del lavoro

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.

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

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.

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.

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