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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Large Language Models
- DL frameworks
- multi-GPU computing
- Generative AI
- EuroHPC-class supercomputers
- tier-1 clouds
- NVAIE
- NeMo
- CUDA
- NIM
Benefits
Other Benefits
- Extensive benefits package
Informal Culture
- Diverse and inclusive work environment
Flexible Working
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Large Language Models
- DL frameworks
- multi-GPU computing
- Generative AI
- EuroHPC-class supercomputers
- tier-1 clouds
- NVAIE
- NeMo
- CUDA
- NIM
Benefits
Other Benefits
- Extensive benefits package
Informal Culture
- Diverse and inclusive work environment
Flexible Working
- Flexible work environment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA Germany
Industry
IT
Description
The company develops deep learning platforms that significantly impact the industry and are widely used across various sectors.
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