Senior Developer Technology Engineer, Public Sector

at Nvidia
šŸ“ Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
āœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 4 Spark @ 4 Algorithms @ 4 Data Structures @ 4 Machine Learning @ 4 Hiring @ 4 Parallel Programming @ 6 CUDA @ 6

Details

We are now seeking a Senior Developer Technology Engineer for the Public Sector:

NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

Responsibilities

  • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Python).
  • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.
  • Occasional travel from time to time for conferences and on-site visits with developers.

Requirements

  • Have an MS or PhD degree or equivalent experience in an engineering or computer science related field.
  • Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
  • Strong computer science fundamentals, including parallel data structures and algorithms, combinatorics, and sparse representations.
  • 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).
  • This position requires US Citizenship.

Ways to stand out from the crowd:

  • Domain expertise in data and graph analytics, data-science, network analysis, cybersecurity, machine learning, or deep learning.
  • Experience developing with libraries in the RAPIDS ecosystem, including but not limited to cuDF, cuML, cuGraph, Spark and cuPY.
  • Experience with JIT compilation and using NUMBA.
  • Background with algorithm and architecture codesign.