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Senior Software Architect, GPU Networking Research(m/w/x)
GPU networking and AI data center research, exploring transport functions for AI optimization. Deep understanding of performance profiling and optimization techniques required. Architectural and development leadership in modern data center technologies.
Anforderungen
- M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience
- Experience in virtualization, networking and storage
- Experience in Windows or Linux drivers, very good background of other OS
- Deep understanding of performance profiling and optimization techniques, defining and using HW offloads
- Teammate with can-do attitude, high energy and excellent interpersonal skills
- Ability and flexibility to work and communicate effectively in multi-national, multi-time-zone corporate environment
- Shown research track record
- Experience and passion for system architecture, CPU/GPU/memory/storage/networking
- Stellar communication skills
- Knowledge in Deep Learning frameworks
Aufgaben
- Explore technological challenges in GPU networking and AI data centers
- Research new transport functions and semantics for AI optimization
- Lead architectural and development efforts in modern data center technologies
- Enhance NVIDIA's GPU Networking offerings for AI acceleration
- Design and lead the vision for advanced technologies
- Develop proof-of-concept solutions to evaluate and drive technologies
- Identify and evaluate new technologies and partner relationships
- Align innovations with NVIDIA's technology roadmap and business value
- Collaborate with the community and maintainers on strategic technologies
Berufserfahrung
- 8 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Windows drivers
- Linux drivers
- Deep Learning frameworks
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Senior Software Architect, GPU Networking Research(m/w/x)
GPU networking and AI data center research, exploring transport functions for AI optimization. Deep understanding of performance profiling and optimization techniques required. Architectural and development leadership in modern data center technologies.
Anforderungen
- M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience
- Experience in virtualization, networking and storage
- Experience in Windows or Linux drivers, very good background of other OS
- Deep understanding of performance profiling and optimization techniques, defining and using HW offloads
- Teammate with can-do attitude, high energy and excellent interpersonal skills
- Ability and flexibility to work and communicate effectively in multi-national, multi-time-zone corporate environment
- Shown research track record
- Experience and passion for system architecture, CPU/GPU/memory/storage/networking
- Stellar communication skills
- Knowledge in Deep Learning frameworks
Aufgaben
- Explore technological challenges in GPU networking and AI data centers
- Research new transport functions and semantics for AI optimization
- Lead architectural and development efforts in modern data center technologies
- Enhance NVIDIA's GPU Networking offerings for AI acceleration
- Design and lead the vision for advanced technologies
- Develop proof-of-concept solutions to evaluate and drive technologies
- Identify and evaluate new technologies and partner relationships
- Align innovations with NVIDIA's technology roadmap and business value
- Collaborate with the community and maintainers on strategic technologies
Berufserfahrung
- 8 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Windows drivers
- Linux drivers
- Deep Learning frameworks
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
NVIDIA
Branche
IT
Beschreibung
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Noch nicht perfekt?
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