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High-Performance Computing Engineer Intern - Summer 2022
Posted on 12/10/2021
Remote in USA
Experience Level
Desired Skills
Data Analysis
Data Structures & Algorithms
Operating Systems
  • You are pursuing your MS degree or PhD in Computer Science, or a similar technical field of study
  • Strong knowledge of C/C++, software design, and programming techniques
  • Experience with the design and implementation of complex algorithms and data structures
  • Parallel programming experience using multi-threading or MPI
  • Understanding of computer system architecture and operating systems
  • Knowledge and understanding of parallel programming, thread programming, concurrency control, and scalability
  • Experience with CUDA programming and NVIDIA GPUs
  • Background with DL and Machine Learning algorithms
  • Strong collaborative and interpersonal skills to effectively guide and influence within a dynamic, technical environment
  • Study and develop cutting-edge techniques in bioinformatics, graph algorithms, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
  • Work directly with key customers to understand the current and future problems they are solving and provide the best HPC solutions
  • Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale

10,001+ employees

Designer & manufacturer of computer chips & graphics processors
Company Overview
NVIDIA is on a mission to solve the world's most stimulating technology problems – in industries ranging from gaming to scientific exploration.
Company Core Values
  • Innovation
  • Speed & Agility
  • Intellectual Honesty
  • Excellence
  • One Team