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Senior Solutions Architect, AI Factory(m/w/x)
Integrating NVIDIA technology into large-scale IT infrastructures, optimizing AI system performance and real-time monitoring. 3+ years Deep Learning research and LLM training experience required. Flexible work environment.
Anforderungen
- 3+ years Deep Learning research experience
- Experience with LLM training and adaptation
- Passion for accelerated computing
- Graduate degree in STEM related field
- Action oriented with strong analytical skills
- Strong organization and time management skills
- Self-motivated and ability to work independently
- Experience in HPC or Deep Learning
- Strong collaboration and communication skills
- Experience with DL frameworks and multi-GPU
- Fluency in English
- Experience with data curation pipelines
- Experience with EuroHPC or tier-1 clouds
- Skill in profiling and optimizing code
- Understanding of HPC system architecture
- Experience with NVIDIA technologies
Aufgaben
- Integrate NVIDIA technology into large-scale IT infrastructures
- Optimize system performance, reliability, and manageability
- Implement real-time monitoring for AI infrastructure
- Collaborate with academic and industrial end-users
- Define and deliver high-value technical solutions
- Identify infrastructure gaps and develop prototypical solutions
- Demonstrate accelerated computing and AI workflows
- Deliver technical training on NVIDIA GPUs and software
- Cultivate power users into product ambassadors
- Communicate customer requirements to engineering teams
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Large Language Models
- DL frameworks
- multi-GPU computing
- Generative AI
- EuroHPC-class supercomputers
- tier-1 clouds
- NVAIE
- NeMo
- CUDA
- NIM
Benefits
Sonstige Vorteile
- Extensive benefits package
Lockere Unternehmenskultur
- Diverse and inclusive work environment
Flexibles Arbeiten
- Flexible work environment
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Senior Solutions Architect, AI Factory(m/w/x)
Integrating NVIDIA technology into large-scale IT infrastructures, optimizing AI system performance and real-time monitoring. 3+ years Deep Learning research and LLM training experience required. Flexible work environment.
Anforderungen
- 3+ years Deep Learning research experience
- Experience with LLM training and adaptation
- Passion for accelerated computing
- Graduate degree in STEM related field
- Action oriented with strong analytical skills
- Strong organization and time management skills
- Self-motivated and ability to work independently
- Experience in HPC or Deep Learning
- Strong collaboration and communication skills
- Experience with DL frameworks and multi-GPU
- Fluency in English
- Experience with data curation pipelines
- Experience with EuroHPC or tier-1 clouds
- Skill in profiling and optimizing code
- Understanding of HPC system architecture
- Experience with NVIDIA technologies
Aufgaben
- Integrate NVIDIA technology into large-scale IT infrastructures
- Optimize system performance, reliability, and manageability
- Implement real-time monitoring for AI infrastructure
- Collaborate with academic and industrial end-users
- Define and deliver high-value technical solutions
- Identify infrastructure gaps and develop prototypical solutions
- Demonstrate accelerated computing and AI workflows
- Deliver technical training on NVIDIA GPUs and software
- Cultivate power users into product ambassadors
- Communicate customer requirements to engineering teams
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Large Language Models
- DL frameworks
- multi-GPU computing
- Generative AI
- EuroHPC-class supercomputers
- tier-1 clouds
- NVAIE
- NeMo
- CUDA
- NIM
Benefits
Sonstige Vorteile
- Extensive benefits package
Lockere Unternehmenskultur
- Diverse and inclusive work environment
Flexibles Arbeiten
- Flexible work environment
Über das Unternehmen
NVIDIA Germany
Branche
IT
Beschreibung
The company develops deep learning platforms that significantly impact the industry and are widely used across various sectors.
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