Die KI-Suchmaschine für Jobs
Senior Research HPC Engineer(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Flexibles Arbeiten
- •Hybrid work schedule
- •Flexible working hours
Lockere Unternehmenskultur
- •Diverse and internationally distributed team
- •Open communication
Karriere- und Weiterentwicklung
- •Regular feedback
Attraktive Vergütung
- •Virtual Shares
Team Events & Ausflüge
- •Regular in-person team events
- •Monthly full-day hacking sessions
Mehr Urlaubstage
- •30 days of annual leave
Sonstige Vorteile
- •Competitive benefits
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Senior Research HPC Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Flexibles Arbeiten
- •Hybrid work schedule
- •Flexible working hours
Lockere Unternehmenskultur
- •Diverse and internationally distributed team
- •Open communication
Karriere- und Weiterentwicklung
- •Regular feedback
Attraktive Vergütung
- •Virtual Shares
Team Events & Ausflüge
- •Regular in-person team events
- •Monthly full-day hacking sessions
Mehr Urlaubstage
- •30 days of annual leave
Sonstige Vorteile
- •Competitive benefits
Über das Unternehmen
DeepL
Branche
IT
Beschreibung
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
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