Scientific Visualization Infrastructure Engineer - ML, AI

☞ NVIDIA

Aussicht: 138

Update Tag: 07-10-2024

Ort: Munich Bavaria

Kategorie: Informationstechnologie

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Jobinhalt

NVIDIA is looking for a committed, outstanding software developer or computer scientist to join its Compute Developer Technology (Devtech) team. Scientific visualization is evolving rapidly with the recent advances in rendering algorithms, display technology, supercomputer architectures, and the application of cloud computing. In addition, the rise of cognitive capabilities thanks to advances in machine learning have enabled entirely novel approaches to visualization of largest-scale datasets. As a Scientific Visualization Infrastructure Engineer with a focus on ML/AI you will research, architect, and implement technologies that realize the seamless integration of ML/AI workflows with scientific applications to build large-scale visualization solutions based on NVIDIA’s Omniverse platform.
What you will be doing:
  • Engage personally with scientists and other partners worldwide to understand the utility of ML/AI in their visualization and simulation work today and tomorrow.
  • Define and implement distributed APIs to integrate diverse ML/AI workflows with scientific simulations and visualization platforms such as NVIDIA’s IndeX 3D volumetric interactive visualization SDK.
  • Develop frameworks to run AI inference on data stored in Omniverse and to produce train, validation, and test datasets for DNNs from data stored in Omniverse.
  • Conduct code reviews and make sure contributing developers uphold rigorous coding standards when integrating with the system.
  • Join efforts with diverse groups inside and outside NVIDIA such as domain scientists, ML experts, cloud infrastructure, research, and solution architect teams to constantly improve our platform.
What we need to see:
  • A BS, MS, or PhD degree in computer science or in engineering or a domain science with 5+ years of experience.
  • Strong knowledge of C/C++ and/or Python with a solid understanding in software design, programming techniques, and algorithms.
  • In-depth experience with machine learning, specifically deep learning, computer vision, robotics, or autonomous vehicles and the deployment of ML/AI applications.
  • Working knowledge of modern software development practices such as code review, automated testing, and continuous integration programming, as well as programming for parallel and distributed architectures.
  • Hands-on and in-depth experience with visualization pipelines is a plus (VTK, VTK-m, Anari, IndeX and similar).
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
With highly competitive salaries, a comprehensive benefits package, and a great company culture, NVIDIA is widely considered to be one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world and our engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Frist: 21-11-2024

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