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

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +5 · Remote

NVIDIA is seeking Senior Software Engineers with C++ and CUDA expertise to accelerate open-source software libraries for GPU data processing. The role involves developing parallel algorithms for structured data processing, implementing solutions in C++ and CUDA, contributing to open-source projects, and optimizing code for high performance on GPUs.

What you'd actually do

  1. Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows
  2. Implementing solutions in C++ and CUDA
  3. Contributing to open source projects, such as cuDF, Velox, Presto and Spark
  4. Benchmarking, profiling, and optimizing code
  5. Working closely with the world’s top experts in GPU hardware, software and workflows

Skills

Required

  • Modern C++
  • CUDA
  • Parallel programming
  • Algorithm development
  • Benchmarking
  • Profiling
  • Optimization

Nice to have

  • RAPIDS cuDF
  • Data science workflow development
  • Debugging

What the JD emphasized

  • 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.