Aktuelle Jobs im Zusammenhang mit Solutions Architect for Hyperscalers - Munich, Bayern - NVIDIA
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Cloud Solutions Architect
vor 3 Wochen
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Solutions Architect for Hyperscalers
vor 1 Monat
NVIDIA's Worldwide Field Operations team is seeking a seasoned Solutions Architect to collaborate with our Hyperscalers partners and drive the adoption of accelerated computing and Generative AI solutions. As a key member of our Solutions Architecture team, you will work closely with customers and partners to understand their challenges and provide tailored solutions based on NVIDIA's pioneering GenAI software and hardware technologies.
Key Responsibilities- Develop and demonstrate solutions for developers leveraging Hyperscalers and NVIDIA's GenAI technologies
- Work closely with key customers and Hyperscalers partners to understand their needs and provide optimized solutions
- Perform in-depth analysis and optimization to ensure best performance on GPU-accelerated systems using NVIDIA's software platform
- Partner with Engineering, Product, and Sales teams to understand developer challenges and plan suitable solutions
- Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures
- MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other relevant fields
- 3+ years of academic and/or industry experience in machine learning, deep learning, and/or data science
- Excellent verbal and written communication skills, with ability to present technical solutions in English
- Expertise in deploying large-scale training and inference pipelines on Hyperscalers' infrastructure
- Self-starter with interest in growth, passion for continuous learning, and sharing findings across the team
- Experience running and optimizing large-scale distributed DL training
- Expertise in optimizing inference pipelines using various techniques
- Background working with larger transformer-based architectures
- Experience with DevOps technologies such as Docker, Kubernetes, Singularity, etc.
- Understanding of HPC systems, including data center design, high-speed interconnects, cluster storage, and scheduling
