מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you’ll be doing:
Supporting Higher Education and Research customers drivingresearch/influencing/newbusiness in those customers and academic collaborations.
Co-work withprofessors/researcherson their GPU computing research works and assisting customer in building innovative solutions.
We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful.
For HPC on DPU/GPU
Develop data center solutions utilizing NVIDIA DPU and MIG technologies
Design and implement high-performance, secure networking and storage acceleration solutions
Optimize MIG configurations for optimal GPU resource utilization and isolation
Support customers in deploying and managing DPU-based infrastructure
Develop DPU applications and services using DOCA SDK
Implement DPU and MIG applications in cloud computing, AI inference, and high-performance computing
For Omniverse
Develop 3D simulation and collaboration solutions using NVIDIA Omniverse platform
Design and implement real-time rendering, physics simulations, and AI-driven virtual environments
Integrate various industrial software with Omniverse for cross-application data interoperability
Support customers in building digital twin and virtual world applications on Omniverse
Optimize Omniverse performance in various domains such as manufacturing, architecture, and entertainment
Develop Omniverse extensions and connectors to expand platform capabilities
What we need to see:
Master or Ph.D. degree in Physics, Mathematics, Computer Science, Electrical or Computer Engineering or equivalent experience
5+ years of related experience
Experience with Python, C/C++, or similar languages
Proven ability to engage and collaborate across organizations
Ways to stand out from the crowd:
Experience with CUDA and GPU Computing
Have lots of experience working with HPC/DPU or OM
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