NVIDIA
HPC and AI Software Architect(m/w/x)
Full-timeOn-siteExperienced
Zürich
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NVNVIDIA
Deep Learning Solutions Architect – Inference Optimization(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Optimizing large-scale inference pipelines on GPU architectures for AI/VR/AV customer solutions. Modern NLP/LLM architecture knowledge (transformer, diffusion) and DevOps tools (Docker, Kubernetes) proficiency required. Direct customer engagement on groundbreaking AI/VR/AV solutions.
Requirements
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
- 5+ years work or research experience with Python, C++, or other software development
- Work experience and knowledge of modern NLP including understanding of transformer, state space, diffusion, MOE model architectures
- Understanding of key libraries used for NLP/LLM training and/or deployment
- Proficient with DevOps tools including Docker, Kubernetes, and Singularity
- Demonstrated experience in running and debugging large-scale distributed deep learning training or inference processes
- Experience working with larger transformer-based architectures for NLP, CV, ASR, or other
- Applied NLP technology in production environments
- Enthusiasm for collaborating with various teams and departments
- Self-starter with demeanor for growth and passion for continuous learning
Tasks
- Work directly with key customers to understand their technology
- Provide optimal AI solutions for customer needs
- Analyze and optimize performance on GPU architecture systems
- Support optimization of large-scale inference pipelines
- Collaborate with Engineering, Product, and Sales teams
- Develop and plan suitable solutions based on customer requirements
- Gather customer feedback to enhance product features
- Conduct proof-of-concept evaluations
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TRT LLM
- vLLM
- SGLang
- Python
- C++
- Megatron-LM
- NeMo
- DeepSpeed
- TensorRT-LLM
- Triton Inference Server
- Docker
- Kubernetes
- Singularity
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
Deep Learning Solutions Architect – Inference Optimization(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Optimizing large-scale inference pipelines on GPU architectures for AI/VR/AV customer solutions. Modern NLP/LLM architecture knowledge (transformer, diffusion) and DevOps tools (Docker, Kubernetes) proficiency required. Direct customer engagement on groundbreaking AI/VR/AV solutions.
Requirements
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
- 5+ years work or research experience with Python, C++, or other software development
- Work experience and knowledge of modern NLP including understanding of transformer, state space, diffusion, MOE model architectures
- Understanding of key libraries used for NLP/LLM training and/or deployment
- Proficient with DevOps tools including Docker, Kubernetes, and Singularity
- Demonstrated experience in running and debugging large-scale distributed deep learning training or inference processes
- Experience working with larger transformer-based architectures for NLP, CV, ASR, or other
- Applied NLP technology in production environments
- Enthusiasm for collaborating with various teams and departments
- Self-starter with demeanor for growth and passion for continuous learning
Tasks
- Work directly with key customers to understand their technology
- Provide optimal AI solutions for customer needs
- Analyze and optimize performance on GPU architecture systems
- Support optimization of large-scale inference pipelines
- Collaborate with Engineering, Product, and Sales teams
- Develop and plan suitable solutions based on customer requirements
- Gather customer feedback to enhance product features
- Conduct proof-of-concept evaluations
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TRT LLM
- vLLM
- SGLang
- Python
- C++
- Megatron-LM
- NeMo
- DeepSpeed
- TensorRT-LLM
- Triton Inference Server
- Docker
- Kubernetes
- Singularity
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.
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Not a perfect match?
- NVIDIA
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Full-timeOn-siteExperiencedZürich - Red Hat (Switzerland) SARL
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Full-timeOn-siteSeniorZürich - NVIDIA Switzerland AG
Principal Software Architect, GPU Networking Research(m/w/x)
Full-timeOn-siteSeniorZürich - NVIDIA
Senior Software Developer(m/w/x)
Full-timeOn-siteSeniorZürich - NVIDIA Switzerland AG
Robotics Developer Relations Manager(m/w/x)
Full-timeOn-siteSeniorZürich