NVIDIA Logo

NVIDIA

Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Posted 19 Days Ago
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
As a Senior Software Engineer, you will develop parallel algorithms for data processing, optimize C++ and CUDA code, and contribute to open-source projects.
The summary above was generated by AI

We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA’s Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators—highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you’ll be doing:

  • Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows

  • Implementing solutions in C++ and CUDA

  • Contributing to open source projects, such as cuDF, Velox, Presto and Spark

  • Benchmarking, profiling, and optimizing code

  • Working closely with the world’s top experts in GPU hardware, software and workflows

What we need to see:

  • 5+ years of experience in Computer Science or Software Engineering

  • MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)

  • Strong Modern C++ programming skills

  • Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.

  • You care deeply about robust, readable, high-performance code

  • Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

Ways to stand out from the crowd:

  • Familiarity with RAPIDS cuDF

  • Experience in data science workflow development and debugging 

  • Passion for publishing your work in technical blogs and conferences.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Similar Jobs

An Hour Ago
Remote
US
163K-267K Annually
Senior level
163K-267K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The Director of Product Marketing will lead strategy and execution for PSA's Sports Grading business, focusing on product marketing strategy, go-to-market planning, customer experience, and category leadership while managing a high-performing team.
An Hour Ago
Remote or Hybrid
United States
Mid level
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Chevrolet District Sales Manager is responsible for managing dealer relationships, ensuring sales goals are met, and analyzing market dynamics. Duties include training, resolving customer issues, and facilitating product launches, requiring strong relationship management and travel within the district.
An Hour Ago
Remote or Hybrid
Austin, TX, USA
129K-207K Annually
Senior level
129K-207K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Scrum Leader directs a software team focused on chassis analytics, facilitating Scrum ceremonies, managing project progress, and enhancing team performance.
Top Skills: AnalyticsArtificial IntelligenceData AnalysisDatabricksJIRAMachine LearningPower-Bi

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account