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Senior Deep Learning Engineer(m/w/x)
Description
As a Senior Deep Learning Engineer, you will optimize and deploy advanced models for high-performance inference on GPU platforms, collaborating with research scientists and software engineers to enhance system efficiency.
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Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
8 years
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
Tools & Technologies
Languages
English – Business Fluent
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Senior Deep Learning Engineer(m/w/x)
The AI Job Search Engine
Description
As a Senior Deep Learning Engineer, you will optimize and deploy advanced models for high-performance inference on GPU platforms, collaborating with research scientists and software engineers to enhance system efficiency.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
8 years
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
Tools & Technologies
Languages
English – Business Fluent
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.
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