NVIDIA
HPC and AI Software Architect(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Zürich
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
NVNVIDIA Switzerland AG
Senior HPC and AI Network Software Architect(m/w/x)
Zürich
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building scalable software for distributed AI training and inference on NVIDIA GPUs. Evolving architecture for throughput, latency, and memory efficiency. Ph.D. or 5+ years systems programming experience required. Comprehensive benefits package.
Anforderungen
- Ph.D. or equivalent industry experience in computer science/engineering
- 5+ years systems programming, parallel/distributed computing, high-performance networking, or large-scale data movement
- Designing and building complex systems
- Strong programming background in C++
- Strong programming background in Python
- Ideally CUDA or other GPU programming models
- Building production-quality performance-critical software
- Extensive hands-on experience with AI frameworks
- Solid grasp of communication libraries and runtime systems
- Developing and refining high-throughput, low-latency systems
- Reasoning across software stacks, hardware capabilities, and system bottlenecks
- Strong collaboration skills in multi-national, interdisciplinary setting
- Contributing ideas and building momentum
- Working effectively with senior engineers, researchers, and partner teams
- Deep expertise with NCCL, UCX, UCC, or similar communication libraries
- Strong background in networking and communication protocols
- Strong background in RDMA
- Strong background in collective communications
- Strong background in congestion-aware transport
- Strong background in accelerator-aware networking
- Comprehensive knowledge of large model training and inference serving
- Understanding communication bottlenecks, scheduling challenges, and system tradeoffs
- Experience crafting hardware-software co-design for distributed AI systems
- Contributions advancing GPU, DPU, interconnect, or runtime capabilities
- Familiarity with infrastructure for deployment of LLMs or transformer-based models
- Familiarity with sharding, pipelining, expert parallelism, or hybrid parallelism
Aufgaben
- Build scalable software systems for distributed AI training and inference
- Evolve architecture focusing on throughput, latency, resiliency, and memory efficiency
- Develop next-generation communication and runtime capabilities in libraries
- Evaluate libraries like NCCL, UCX, and UCC for frontier AI workloads
- Partner with AI framework teams to build integrations and improve performance
- Collaborate with internal platform teams to explore new approaches
- Work on hardware and system-level features to speed up data movement
- Enable new capabilities for training, inference, and model serving
- Drive innovation in runtime systems and communication libraries
- Help turn new ideas into practical and robust implementations
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- CUDA
- PyTorch
- TensorFlow
- JAX
- NCCL
- UCX
- UCC
- RDMA
Benefits
Sonstige Vorteile
- Comprehensive benefits package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens NVIDIA Switzerland AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
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Vollzeitnur vor OrtSeniorZürich
NVNVIDIA Switzerland AG
Senior HPC and AI Network Software Architect(m/w/x)
Zürich
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building scalable software for distributed AI training and inference on NVIDIA GPUs. Evolving architecture for throughput, latency, and memory efficiency. Ph.D. or 5+ years systems programming experience required. Comprehensive benefits package.
Anforderungen
- Ph.D. or equivalent industry experience in computer science/engineering
- 5+ years systems programming, parallel/distributed computing, high-performance networking, or large-scale data movement
- Designing and building complex systems
- Strong programming background in C++
- Strong programming background in Python
- Ideally CUDA or other GPU programming models
- Building production-quality performance-critical software
- Extensive hands-on experience with AI frameworks
- Solid grasp of communication libraries and runtime systems
- Developing and refining high-throughput, low-latency systems
- Reasoning across software stacks, hardware capabilities, and system bottlenecks
- Strong collaboration skills in multi-national, interdisciplinary setting
- Contributing ideas and building momentum
- Working effectively with senior engineers, researchers, and partner teams
- Deep expertise with NCCL, UCX, UCC, or similar communication libraries
- Strong background in networking and communication protocols
- Strong background in RDMA
- Strong background in collective communications
- Strong background in congestion-aware transport
- Strong background in accelerator-aware networking
- Comprehensive knowledge of large model training and inference serving
- Understanding communication bottlenecks, scheduling challenges, and system tradeoffs
- Experience crafting hardware-software co-design for distributed AI systems
- Contributions advancing GPU, DPU, interconnect, or runtime capabilities
- Familiarity with infrastructure for deployment of LLMs or transformer-based models
- Familiarity with sharding, pipelining, expert parallelism, or hybrid parallelism
Aufgaben
- Build scalable software systems for distributed AI training and inference
- Evolve architecture focusing on throughput, latency, resiliency, and memory efficiency
- Develop next-generation communication and runtime capabilities in libraries
- Evaluate libraries like NCCL, UCX, and UCC for frontier AI workloads
- Partner with AI framework teams to build integrations and improve performance
- Collaborate with internal platform teams to explore new approaches
- Work on hardware and system-level features to speed up data movement
- Enable new capabilities for training, inference, and model serving
- Drive innovation in runtime systems and communication libraries
- Help turn new ideas into practical and robust implementations
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- CUDA
- PyTorch
- TensorFlow
- JAX
- NCCL
- UCX
- UCC
- RDMA
Benefits
Sonstige Vorteile
- Comprehensive benefits package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens NVIDIA Switzerland AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
NVIDIA Switzerland AG
Branche
IT
Beschreibung
NVIDIA is a leading technology company specializing in Deep Learning, Artificial Intelligence, and Supercomputing.
Noch nicht perfekt?
- NVIDIA
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