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techroles

Principal Systems Software Engineer

NVIDIA nvidia.com Open
US, CA, Santa Clara Full-time Senior Embedded & Firmware

At a glance

Senior Embedded & Firmware role at NVIDIA. US, CA, Santa Clara · full-time · $272,000–$431,250 base.

SalaryStated by NVIDIA
$272,000 – $431,250
Base salary for this role, in USD per year, as published in the posting.
RoleEmbedded & Firmware
SenioritySenior
LocationUS, CA, Santa Clara
EmploymentFull-time
Base pay$272,000–$431,250
PostedOct 30, 2026
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Create Java, Scala and CUDA/C++ code that speeds up Spark DataFrames and reading or writing common file types
  • Make Spark work with formats including Apache Iceberg and Delta Lake, as well as Unity Catalog
  • Improve cuDF, CCCL and UCX through open-source discussions and code submissions
  • Work with distributed systems groups on processing challenges at large scale
  • Build, test and tune CUDA/C++ libraries on multiple platforms; advise teams on infrastructure and testing choices

What you bring

  • At least fifteen years working in software development
  • A degree in computer science, computer engineering or a related area, or equivalent experience
  • Strong C++, Java or Scala skills, plus experience designing and implementing distributed systems
  • Familiarity with open-source data platforms such as Apache Spark, Velox or Apache Arrow

Who this fits

This senior engineering role suits someone who can build distributed systems and work across organizational boundaries and geographies. You’ll contribute to open-source libraries and collaborate with distributed systems teams.

From 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

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 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
Opportunity

Embedded & Firmware work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Embedded & Firmware$270k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Embedded & Firmware work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.