Analog Devices, Inc.
Staff AI Engineer(m/w/x)
Full-timeWith HomeofficeSenior
München
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DEDE01 NVIDIA Germany
Senior Deep Learning Engineer(m/w/x)
München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Improving inference speed and deploying Cosmos WFMs on GPU platforms for AI/HPC breakthroughs. MSc/PhD in CS/EE or equivalent, with Python/PyTorch expertise, essential. Work on cutting-edge AI/HPC projects.
Requirements
- 8+ years of experience
- MSc or PhD in CS, EE, CSEE or equivalent experience
- Strong background in Deep Learning
- Strong programming skills in Python and PyTorch
- Experience with inference optimization techniques
- Experience with inference optimization frameworks: TensorRT, TensorRT-LLM, vLLM, SGLang
- Familiarity with deploying Deep Learning models in production settings
- CUDA programming experience
- Familiarity with diffusion models
- Proven experience in analyzing, modeling, and tuning GPU workloads
Tasks
- Improve inference speed for Cosmos WFMs on GPU platforms
- Deploy Cosmos WFMs into production
- Profile and analyze deep learning workloads to identify bottlenecks
- Remove bottlenecks in deep learning processes
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorRT
- TensorRT-LLM
- vLLM
- SGLang
- Docker
- Triton Inference Server
- CUDA
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DE01 NVIDIA Germany 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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DEDE01 NVIDIA Germany
Senior Deep Learning Engineer(m/w/x)
München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Improving inference speed and deploying Cosmos WFMs on GPU platforms for AI/HPC breakthroughs. MSc/PhD in CS/EE or equivalent, with Python/PyTorch expertise, essential. Work on cutting-edge AI/HPC projects.
Requirements
- 8+ years of experience
- MSc or PhD in CS, EE, CSEE or equivalent experience
- Strong background in Deep Learning
- Strong programming skills in Python and PyTorch
- Experience with inference optimization techniques
- Experience with inference optimization frameworks: TensorRT, TensorRT-LLM, vLLM, SGLang
- Familiarity with deploying Deep Learning models in production settings
- CUDA programming experience
- Familiarity with diffusion models
- Proven experience in analyzing, modeling, and tuning GPU workloads
Tasks
- Improve inference speed for Cosmos WFMs on GPU platforms
- Deploy Cosmos WFMs into production
- Profile and analyze deep learning workloads to identify bottlenecks
- Remove bottlenecks in deep learning processes
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorRT
- TensorRT-LLM
- vLLM
- SGLang
- Docker
- Triton Inference Server
- CUDA
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DE01 NVIDIA Germany 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
DE01 NVIDIA Germany
Industry
IT
Description
The company is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.
Not a perfect match?
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