8 beste Stellen als lead machine learning engineer in frankfurt am main, he – aktuell auf Personalsuche

Lead Kernel Engineer/Architect (m/f/d)
EPAM Systems, Inc. —Frankfurt am Main
- Hybrides Arbeiten
- C++
- Bachelor
- Ohne Hochschulabschluss
AI Innovation Engineer, Deutsche Borse Delivery Team, Cloud
Google —Frankfurt am Main
- 124.000 € – 128.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
3 Std.
AI Innovation Engineer, Deutsche Borse Group, Google Cloud
Google —Frankfurt am Main
- 150.000 € – 154.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
2 Tage
Senior AI Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- Master
Direkt bewerben
Senior Data & AI Consultant/Consulting Lead (Germany)
Unit8 SA —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
AI & Analytics Advisory Senior Manager – Agentic AI (all genders)
Accenture —Kronberg
- Vollzeit
- Azure
- Künstliche Intelligenz
Sales Development Manager (m/f/d) Off-Highway Electrification (EMEA)
Danfoss —Offenbach
- Vollzeit
- CRM-Software
- Vertrieb
- Unternehmensentwicklung
7 Tage
Cloud Solution Architect (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- AWS
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Direkt bewerben

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lead machine learning engineer jobs near frankfurt am main, he

Lead Kernel Engineer/Architect (m/f/d)

EPAM Systems, Inc. -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Qualifikationen

Kernels
C++
Bachelor
Softwareentwicklung
APIs
Python

Vollständige Stellenbeschreibung

We're looking for a Lead Kernel Engineer/Architect to join our team in Germany in a hybrid working mode.

Are you passionate about pushing advanced hardware accelerators to their limits? Join us in shaping the future of AI performance and scalability.

As a Lead Kernel Engineer/Architect, you will drive the optimization of critical machine learning operations for large-scale training and inference, working with cutting-edge hardware like TPUs and GPUs, advanced ML models and performance toolchains. Your work will enable faster AI research and production deployments on cloud platforms and within open-source ecosystems.

In this role, you will collaborate with researchers, compiler engineers and framework developers to deliver optimized, high-performance solutions that set the standard for modern AI computation.

Responsibilities

Design and optimize high-performance kernels for TPU and GPU architectures using low-level programming frameworks such as Pallas, Triton or Mosaic
Build and maintain performance infrastructure, including benchmarking suites, autotuning systems, regression testing frameworks and tooling
Collaborate with ML framework developers (e.g., JAX, PyTorch) and compiler teams (XLA/MLIR) to integrate custom kernels and reduce performance bottlenecks
Track advancements in accelerator hardware, compiler technology and AI model design to identify opportunities for kernel-level optimization
Develop clear documentation, APIs and supporting OSS components that improve developer usability and adoption
Analyze and resolve complex performance issues impacting large-scale distributed training and inference systems

Requirements

Bachelor’s degree or equivalent practical experience
12+ years of industry experience in software engineering or systems programming
5+ years of experience in software development using C++ or Python
3+ years of experience in testing, maintaining or launching software products and at least 1 year in software design or architecture
Hands-on experience in performance optimization at the kernel level for accelerators or high-performance systems

Nice to have

Proficiency in low-level accelerator programming (CUDA, Triton, Pallas)
Familiarity with ML frameworks such as JAX or PyTorch and optimization techniques for attention layers, Mixture of Experts (MoE) and precision tuning
Strong understanding of modern hardware accelerators, including pipelining, data movement and heterogeneous compute
Knowledge of compiler principles and intermediate representations (e.g., MLIR, OpenXLA)
Experience building OSS developer infrastructure, APIs and performance-critical libraries
Excellent problem-solving skills and ability to collaborate in cross-functional engineering environments

We offer

30 days holiday per annum
Company Pension Scheme
Regular performance assessments
Discount on Fitness-First Black Membership
bitkom - Corporate Benefits
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
Friendly and enjoyable working team
Regular corporate and social events
Flexible and remote working opportunities
Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.

Jetzt bewerben

Erweiterte Suche

lead machine learning engineer Jobs in frankfurt am main, he

Lead Kernel Engineer/Architect (m/f/d)

AI Innovation Engineer, Deutsche Borse Delivery Team, Cloud

AI Innovation Engineer, Deutsche Borse Group, Google Cloud

Senior AI Engineer (m/w/d)

Senior Data & AI Consultant/Consulting Lead (Germany)

AI & Analytics Advisory Senior Manager – Agentic AI (all genders)

Sales Development Manager (m/f/d) Off-Highway Electrification (EMEA)

Cloud Solution Architect (m/w/d)

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