Nvidia ITE

Nvidia ITE

Senior Deep Learning Systems Architect

US, CA, Santa Clara · Senior

Sponsorship not specifiedDetected 6 days ago
C++AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchData AnalysisElectrical EngineeringResearch

About the role

  • This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.
  • Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction.
  • Today, a self-driving car powered by AI can meander through a country road at night and find its way.

Responsibilities

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.
  • As a system architect for NVIDIA's offerings for AI systems, you will participate in engineering projects and co-design architecture for systems from conception, specification and prototyping.

Requirements

  • MS (or equivalent experience) or PhD degree in computer science, computer architecture, electrical engineering or related field with 10+ years of relevant work experience.
  • Additional equivalent experience in several of the relevant areas listed below can substitute for an advanced degree.
  • Experience adapting and training DNNs for various tasks

Nice to have

  • Work experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is a huge plus.

Compensation

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • The base salary range is 224,000 USD - 356,500 USD.

Benefits

  • As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs and systems advancing the state of AI.
  • Comprehensive analyses from first principles of various deep learning techniques, system optimizations to build out analytical models as well as implementing prototypes, and benchmarking to test/prove ideas.
  • Come, join our Deep Learning Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
  • You will also be eligible for equity and benefits.
  • We are now looking for a Senior Deep Learning Systems Architect!

Equal opportunity

  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

This listing is sourced directly from Nvidia ITE's careers page and normalized into a canonical job model.