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.#deeplearningSkills Required
- BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)
- 15+ years of software development experience
- Designing and implementing high-quality distributed systems
- Excellent programming skills in C++, Java, and/or Scala
- Experience with CUDA and building/testing/optimizing CUDA/C++ libraries
- Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion)
- Experience with common file formats and I/O (Parquet, ORC, JSON) and table formats (Apache Iceberg, Delta Lake) and metastores (Unity Catalog)
- Ability to work with teams across organizational boundaries and geographies
- Highly motivated with strong interpersonal skills
- Meaningful contributions to open source projects (e.g., cuDF, RAPIDS)
- Familiarity with cuDF, CCCL, UCX, and RAPIDS libraries
- Database query optimization experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
