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Senior Deep Learning Engineer(m/w/x)
Beschreibung
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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Anforderungen
- •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
Ausbildung
Berufserfahrung
8 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
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Senior Deep Learning Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
8 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
DE01 NVIDIA Germany
Branche
IT
Beschreibung
The company is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.
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