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Apache Spark Software Engineer Jobs (NOW HIRING)

Nvidia

Principal Systems Software Engineer

Santa Clara, CA · On-site

$158K - $212K/yr

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.

2HB Incorporated

Senior Software Engineer

Annapolis, MD · On-site

$121K - $159K/yr

Position Description The Software Engineer shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing. In this role, the Software ...

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$68 - $73/hr

Senior Full Stack Software Engineer We are not accepting C2C or 1099 arrangements. Location ... Apache Spark * Microsoft SQL Server * Experience developing enterprise-scale applications in a full ...

Roku

Senior Software Engineer - Ads Analytics

San Jose, CA · On-site

$323K - $428K/yr

This hybrid position bridges software engineering and data engineering, requiring the ability to ... You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot ...

Highbrow LLC

Sr. Software Engineer

Saint Louis, MO · On-site

$116K - $153K/yr

Job Title: Sr. Software Engineer Job ID: 2024-12766 Job Location: Morris Plains, NJ (Preferred ... Responsible for developing data pipelines using Apache Spark (Big Data Processing) Responsible for ...

New

Apple

Data Engineer, Apple Ads

Austin, TX · On-site

$113K - $136K/yr

The ideal candidate is a strong software engineer who also has hands-on experience with Apache Spark and large-scale data processing. You should be comfortable reasoning about distributed systems ...

Highbrow LLC

Sr. Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Job Title: Sr. Software Engineer Job ID: 2024-12766 Job Location: Morris Plains, NJ (Preferred ... Responsible for developing data pipelines using Apache Spark (Big Data Processing) Responsible for ...

New

Apple Inc.

Data Engineer, Apple Ads

Cupertino, CA · On-site

$141K - $169K/yr

The ideal candidate is a strong software engineer who also has hands-on experience with Apache Spark and large-scale data processing. You should be comfortable reasoning about distributed systems ...

Apple Inc.

Data Engineer, Apple Ads

Manhattan, NY · On-site

$126K - $151K/yr

The ideal candidate is a strong software engineer who also has hands-on experience with Apache Spark and large-scale data processing. You should be comfortable reasoning about distributed systems ...

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Principal Systems Software Engineer

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$158K - $212K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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

What Nvidia employees say

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Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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