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 GPU @ 4Details
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
- Work directly with key application developers to understand the current and future problems they are solving.
- Craft and optimize core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development and direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g., Python).
- Collaborate closely with groups at NVIDIA such as 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 for conferences and on-site visits with developers.
Requirements
- MS or PhD degree or equivalent experience in an engineering or computer science related field.
- Programming fluency in C/C++ with 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
- 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.
About NVIDIA
Our work at NVIDIA is dedicated to 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 the invention of the GPU. The GPU has been 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. NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people. If you’re creative and autonomous, they want to hear from you!
Compensation & Benefits
The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.