NVIDIA
Senior Embedded Solutions Architect(m/w/x)
Full-timeOn-siteSenior
München
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NVNVIDIA
Senior Solutions Architect, Customer Success and Partnership(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Hands-on analysis and performance tuning of NVIDIA AI/HPC systems in customer data centers. 10+ years of large-scale data center operations experience required. Travel up to 25%, preferred certifications.
Requirements
- 10+ years of experience in large-scale data center service operations
- BS/MS/PhD or equivalent in Computer Science, Engineering, Physics, or Mathematics
- Analytical, problem-solving, and decision-making skills
- Communication, time management, and organizational skills
- Willingness to travel up to 25%
- Proficiency in system-level aspects (OS, Linux kernel drivers, GPUs, NICs, hardware architecture)
- Expertise in cloud orchestration software and job schedulers
- Familiarity with cloud-native technologies integration
- Deep familiarity with AI infrastructure and workflows
- Knowledge of data center infrastructure operations
- Interpersonal and collaboration skills
Tasks
- Lead hands-on analysis, optimization, and performance tuning
- Ensure high availability and efficiency in customer data centers
- Serve as a senior technical authority on NVIDIA technologies
- Contribute to architecture reviews and guide infrastructure decisions
- Establish and refine monitoring and optimization methodologies
- Detect bottlenecks and improve infrastructure resiliency
- Join post-deployment reviews and incident retrospectives
- Craft the customer experience and provide insights
- Complete and lead complex technical projects
- Ensure alignment to SLAs and mitigate technical risks
- Identify AI infrastructure opportunities in cloud and enterprise environments
- Drive technical initiatives showcasing NVIDIA’s leadership
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Linux kernel drivers
- GPUs
- NICs
- Kubernetes
- Docker Swarm
- Slurm
- Docker
Benefits
Learning & Development
- Preferred certifications
Other Benefits
- Willingness to travel up to 25%
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NVNVIDIA
Senior Solutions Architect, Customer Success and Partnership(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Hands-on analysis and performance tuning of NVIDIA AI/HPC systems in customer data centers. 10+ years of large-scale data center operations experience required. Travel up to 25%, preferred certifications.
Requirements
- 10+ years of experience in large-scale data center service operations
- BS/MS/PhD or equivalent in Computer Science, Engineering, Physics, or Mathematics
- Analytical, problem-solving, and decision-making skills
- Communication, time management, and organizational skills
- Willingness to travel up to 25%
- Proficiency in system-level aspects (OS, Linux kernel drivers, GPUs, NICs, hardware architecture)
- Expertise in cloud orchestration software and job schedulers
- Familiarity with cloud-native technologies integration
- Deep familiarity with AI infrastructure and workflows
- Knowledge of data center infrastructure operations
- Interpersonal and collaboration skills
Tasks
- Lead hands-on analysis, optimization, and performance tuning
- Ensure high availability and efficiency in customer data centers
- Serve as a senior technical authority on NVIDIA technologies
- Contribute to architecture reviews and guide infrastructure decisions
- Establish and refine monitoring and optimization methodologies
- Detect bottlenecks and improve infrastructure resiliency
- Join post-deployment reviews and incident retrospectives
- Craft the customer experience and provide insights
- Complete and lead complex technical projects
- Ensure alignment to SLAs and mitigate technical risks
- Identify AI infrastructure opportunities in cloud and enterprise environments
- Drive technical initiatives showcasing NVIDIA’s leadership
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Linux kernel drivers
- GPUs
- NICs
- Kubernetes
- Docker Swarm
- Slurm
- Docker
Benefits
Learning & Development
- Preferred certifications
Other Benefits
- Willingness to travel up to 25%
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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