Senior Software Engineer, C++, CUDA – Analytics, Data Intelligence

NVIDIA

Engineer developing parallel algorithms for data processing in NVIDIA’s Analytics and Data Intelligence team. Implementing C++ and CUDA solutions, collaborating with experts in GPU hardware and software.

Posted 7/3/2026full-timeRemote • California, New York, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing parallel algorithms and implementing solutions using Modern C++ and CUDA, with a strong focus on high-performance code and data science workflows. Engages in open source contributions and has a passion for technical communication through publications.

Highest-signal resume keywords

Modern C++ ProgrammingCUDA ProgrammingParallel Programming FrameworksData Science Workflow DevelopmentOpen Source Contribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++CUDABenchmarkingProfilingOptimizing CodeData Processing AlgorithmsParallel AlgorithmsDebugging

Soft Skills

CreativityPassion for LearningAttention to Detail

Tools & Technologies

CuDFVeloxPrestoSpark

Certifications & Qualifications

MS Degree in Computer SciencePhD in Computer Science

Industry Keywords

Data Center WorkflowsGPU HardwareSoftware Workflows

Tech Stack

Tools & technologies

Open SourceSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Familiarity with RAPIDS cuDF
Experience in data science workflow development and debugging
Passion for publishing your work in technical blogs and conferences.

Benefits

Comp & perks

competitive salaries
generous benefits package
equity