Senior GPU Acceleration Engineer

3 weeks ago


Santa Clara, California, United States NVIDIA Full time
NVIDIA Job Opportunity

NVIDIA is seeking a highly skilled computer scientist to join its Public Sector Developer Technology (Devtech) team. As a key member of this team, you will be responsible for researching and developing techniques to GPU-accelerate leading applications in fields targeting the federal ecosystem.

Key Responsibilities:
  • Collaborate with key application developers to understand current and future problems they are solving.
  • Craft and optimize core parallel algorithms and data structures to provide the best solutions using GPUs.
  • Contribute to the full software stack, including libraries, applications, and high productivity software environments.
  • Work closely with diverse groups at NVIDIA to influence the design of architectures, software, and programming models.
Requirements:
  • BS, MS, or PhD degree in an engineering or computer science related discipline.
  • Programming fluency in C/C++ and/or Fortran with a deep understanding of software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
Preferred Qualifications:
  • Domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning.
  • Experience working within the Federal Government and the ability to hold a US security clearance.
What We Offer:

NVIDIA offers a competitive salary range of $120,000 - $230,000 USD, based on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.



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