NVIDIA

Software Engineer, CUDA-Q Libraries

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Salary

💰 $184,000 - $356,500 per year

Job Level

SeniorLead

About the role

  • Identifying and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
  • Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
  • Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
  • Solving difficult problems at the intersection of HPC and quantum computing to enable ground-breaking research and technology
  • Improving processes and infrastructure to accelerate our development

Requirements

  • Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 8+ years of relevant work experience
  • Ph.D. or Masters preferred
  • C/C++ proficiency is required
  • Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs
  • Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
  • Experience building performant and robust production software on large-scale hardware and software projects
  • Strong communication and collaboration skills