Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking outstanding engineers and scientists to join their Analytics and Data Intelligence (ADI) team. The role involves applying parallel programming skills to develop high-performance C++ and CUDA libraries for GPU data processing.
Responsibilities
- 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
Skills
- 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
- Equity
- Benefits
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