Principal Systems Software Engineer

NVIDIA Ltd.

Santa Clara, CA, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$272,000.0

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Java (Programming Language) Apache HTTP Server C++ (Programming Language) Cloud Computing Nvidia CUDA Computer Programming Computer Engineering Continuous Integration Data Centers Database Queries Distributed Systems JSON

+18 more

Open Source Technology Cloud Services DataOps Cloudera Scala (Programming Language) Software Engineering Data Streaming Strategies of Testing Parquet Data Processing Graphics Processing Unit (GPU) Apache Spark Data Lakes Information Technology Presto Oracle Cloud Infrastructure Amazon Elastic Mapreduce (EMR) Databricks

Job description

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

Requirements

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

Benefits & conditions

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.