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Senior Research HPC Engineer(m/w/x)
Description
In this role, you will focus on enhancing GPU cluster performance and developing solutions for high-throughput LLM inference. You will collaborate with researchers to implement cutting-edge models and explore new technologies that expand computational capabilities.
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Requirements
- •Strong analytic skills and scientific approach
- •Enjoyment of solving tough problems
- •Track record of project responsibility
- •Strong experience in Python
- •Deep familiarity with PyTorch and AI software ecosystem
- •Good understanding of high-performance programming model for GPUs
- •High proficiency in English
- •Experience in optimizing workloads on GPU compute clusters
- •Thorough understanding of Transformer architectures
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Enable efficient parallelization on GPU clusters
- •Design strategies for large-scale model training
- •Build solutions for multimodal LLM inference
- •Profile, debug, and optimize GPU kernels
- •Optimize low-level systems configuration
- •Ensure correct implementation of state-of-the-art models
- •Evaluate latest technologies and develop innovative ideas
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Hybrid work schedule
- •Flexible working hours
Informal Culture
- •Diverse and internationally distributed team
- •Open communication
Career Advancement
- •Regular feedback
Competitive Pay
- •Virtual Shares
Team Events
- •Regular in-person team events
- •Monthly full-day hacking sessions
More Vacation Days
- •30 days of annual leave
Other Benefits
- •Competitive benefits
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Senior Research HPC Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will focus on enhancing GPU cluster performance and developing solutions for high-throughput LLM inference. You will collaborate with researchers to implement cutting-edge models and explore new technologies that expand computational capabilities.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong analytic skills and scientific approach
- •Enjoyment of solving tough problems
- •Track record of project responsibility
- •Strong experience in Python
- •Deep familiarity with PyTorch and AI software ecosystem
- •Good understanding of high-performance programming model for GPUs
- •High proficiency in English
- •Experience in optimizing workloads on GPU compute clusters
- •Thorough understanding of Transformer architectures
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Enable efficient parallelization on GPU clusters
- •Design strategies for large-scale model training
- •Build solutions for multimodal LLM inference
- •Profile, debug, and optimize GPU kernels
- •Optimize low-level systems configuration
- •Ensure correct implementation of state-of-the-art models
- •Evaluate latest technologies and develop innovative ideas
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Hybrid work schedule
- •Flexible working hours
Informal Culture
- •Diverse and internationally distributed team
- •Open communication
Career Advancement
- •Regular feedback
Competitive Pay
- •Virtual Shares
Team Events
- •Regular in-person team events
- •Monthly full-day hacking sessions
More Vacation Days
- •30 days of annual leave
Other Benefits
- •Competitive benefits
About the Company
DeepL
Industry
IT
Description
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
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