NVIDIA
HPC and AI Software Architect(m/w/x)
Full-timeOn-siteExperienced
Zürich
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NVNVIDIA Switzerland AG
Senior HPC and AI Network Software Architect(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- CUDA
- PyTorch
- TensorFlow
- JAX
- NCCL
- UCX
- UCC
- RDMA
Benefits
Other Benefits
- Comprehensive benefits package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Switzerland AG 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 Switzerland AG
Senior HPC and AI Network Software Architect(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- CUDA
- PyTorch
- TensorFlow
- JAX
- NCCL
- UCX
- UCC
- RDMA
Benefits
Other Benefits
- Comprehensive benefits package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Switzerland AG 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.
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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