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.
What you will be doing:
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.
What we need to see:
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).
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.
Backgroundwith algorithm and architecture codesign.
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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