NVIDIA
Analytics and Data Intelligence
SeniorSoftwareEngineer,C++andCUDA
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, C++ and CUDA at NVIDIA. Skills: C++, CUDA, Parallel programming. Developing novel, parallel algorithms to accelerate core problems in data processing. Implementing solutions in C++ and CUDA”
What You'll Achieve.
Accelerate open-source software libraries for GPU data processing; Drive speed-of-light performance in structured data processing; Power the next generation of data center workflows; Be our next major contributor
Industry & Context.
Problem-solving skills; Apply your creativity to some of the most challenging and rewarding problems we have
What They're Looking For.
Must Have
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), 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
Nice to Have
Familiarity with RAPIDS cuDF, Experience in data science workflow development and debugging, Passion for publishing your work in technical blogs and conferences
What You'll Do.
parallel algorithms to accelerate core problems in data processing
Implementing solutions in C++ and CUDA
Contributing to open source projects
Working closely with experts in GPU hardware
software and workflows
Drive speed-of-light performance in structured data processing
Building the computational core for dataframe and database accelerators
How You'll Work.
Team & Collaboration
Working closely with the world’s top experts in GPU hardware, software and workflows
Full Job Description
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_](https://github.com/rapidsai/cudf) * Experience in data science workflow development and debugging * Passion for publishing your work in technical blogs and conferences. With competitive salarie
Applying for this Senior Software Engineer, C++ and CUDA role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.