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Principal Software Architect, GPU Networking Research(m/w/x)
Architecting new technologies for AI workloads on GPU systems at a supercomputing tech firm, including proof-of-concept development. Deep understanding of virtualization, networking, storage, and Windows/Linux drivers essential. Focus on identifying and assessing new technologies for future roadmaps.
Requirements
- M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering, or equivalent experience
- 15+ years of industry experience in systems architecture or related fields
- Experience in virtualization, networking and storage
- Experience in Windows or Linux drivers, with a very good background of the other OS
- Deep understanding of performance profiling and optimization techniques
- Can-do attitude, high energy and excellent interpersonal skills
- Ability to work and communicate effectively in a multi-national, multi-time-zone corporate environment
- Research track record
- Experience and passion for system architecture, CPU/GPU/memory/storage/networking
- Stellar communication skills
- Knowledge in Deep Learning frameworks
Tasks
- Enhance GPU Networking offerings for AI workloads
- Lead the vision, architecture, and design of new technologies
- Develop proof-of-concept projects to evaluate technologies
- Identify and assess new technologies and partner relationships
- Align innovations with the technology roadmap and business value
- Collaborate with the community and maintainers on strategic technologies
Work Experience
- 15 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Deep Learning frameworks
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Principal Software Architect, GPU Networking Research(m/w/x)
Architecting new technologies for AI workloads on GPU systems at a supercomputing tech firm, including proof-of-concept development. Deep understanding of virtualization, networking, storage, and Windows/Linux drivers essential. Focus on identifying and assessing new technologies for future roadmaps.
Requirements
- M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering, or equivalent experience
- 15+ years of industry experience in systems architecture or related fields
- Experience in virtualization, networking and storage
- Experience in Windows or Linux drivers, with a very good background of the other OS
- Deep understanding of performance profiling and optimization techniques
- Can-do attitude, high energy and excellent interpersonal skills
- Ability to work and communicate effectively in a multi-national, multi-time-zone corporate environment
- Research track record
- Experience and passion for system architecture, CPU/GPU/memory/storage/networking
- Stellar communication skills
- Knowledge in Deep Learning frameworks
Tasks
- Enhance GPU Networking offerings for AI workloads
- Lead the vision, architecture, and design of new technologies
- Develop proof-of-concept projects to evaluate technologies
- Identify and assess new technologies and partner relationships
- Align innovations with the technology roadmap and business value
- Collaborate with the community and maintainers on strategic technologies
Work Experience
- 15 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Deep Learning frameworks
About the Company
NVIDIA Switzerland AG
Industry
IT
Description
NVIDIA is a leading technology company specializing in Deep Learning, Artificial Intelligence, and Supercomputing.
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