20 beste Stellen als python in heidelberg – aktuell auf Personalsuche

Senior AI R&D Engineer - Performance - Pre-training (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Master
- Machine Learning
- APIs
- Flexible Arbeitszeiten
AI Engineer (m/f/x)
osapiens —Mannheim
- Hybrides Arbeiten
- Master
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Senior Consultant AI Engineering (m/w/d)
Deloitte Consulting GmbH —Mannheim
- Teilzeit
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
12 Tage
Softwareentwickler / Data Engineer DevOps (mwd)
HMS Analytical Software GmbH —Heidelberg
- Online-Bewerbung
- Hybrides Arbeiten
- Azure
- Oracle
- Datenbanken
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
WERKSTUDENT KI (M/W/D)
TSG 1899 Hoffenheim Fußball-Spielbetriebs GmbH —Zuzenhausen
- Vollzeit
- Informatik
- Englisch
- Master
Cloud Engineer (m/w/d)
Rewire —Heidelberg
- Vollzeit
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klarsolar GmbH —Heidelberg
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AI Lead (m/w/d)
myScribe GmbH —Mannheim
- 70.000 € – 85.000 € pro Jahr
- Hybrides Arbeiten
- Englisch
- Master
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI R&D Engineer- Model Evaluation (f/m/d/)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- C++
- Flexible Arbeitszeiten
Postdoc in der AG Bioinformatik - RNA (m/w/d)
Universitätsklinikum Heidelberg —Heidelberg
- Vollzeit
- Doktorat
- Datenanalyse
- Englisch
- Gleitzeit
- Weiterbildungsprogramme
Ausbildung zum Fachinformatiker für Daten- und Prozessanalyse (all genders)
valantic GmbH —Mannheim
- Englisch
- Hochschulreife
- SQL
- Homeoffice-Möglichkeit
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Software Test Automation Engineer (d/f/m)
Leica Microsystems —Mannheim
- Vollzeit
- Informatik
- Bachelor
- Künstliche Intelligenz
4 Tage
Senior AI Researcher- Pre-training (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Machine Learning
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
Senior AI Researcher - Pre-training Data (m/f/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Flexible Arbeitszeiten
Softwareentwickler (w/m/d)
andrena objects AG —Mannheim
- Vollzeit
- Hybrides Arbeiten
- Java
- JavaScript
- Softwareentwicklung
- Weiterbildungsprogramme
DevOps Engineer – Platform Operations (m/w/d) vor Ort in St. Leon-Rot
n_value group —Sankt Leon
- Vollzeit
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- Azure
- Software-Fehlerbehebung
- Englisch
- Weiterbildungsprogramme
Direkt bewerben
Werkstudent* Data Science
sovanta AG —Heidelberg
- Englisch
- SQL
- Machine Learning
- Flexible Arbeitszeiten
Praktikant / Werkstudent (m/w/d) Computer Vision (Medizin)
Kite IT GmbH —Mannheim
- Informatik
- Englisch
- C++
- Flexible Arbeitszeiten
Postdoc: Impact Evaluation in Developing Countries (Development Economics)
University of Mannheim —Mannheim
- Doktorat
- Datenanalyse
- Python
Praktikant / Werkstudent (m/w/d) Backend Development
Kite IT GmbH —Mannheim
- Informatik
- Englisch
- Datenbanken
- Flexible Arbeitszeiten

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Senior AI R&D Engineer - Performance - Pre-training (f/m/d)

Aleph Alpha
Heidelberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

PyTorch
Master
Machine Learning
Verteilte Systeme
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Our Mission

Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg.

We are hiring a Senior AI R&D Engineer focused on Performance to grow our pre-training efficiency team. If you are excited about making models fast, this is the role for you!

Team Culture

At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision‑making, open communication, and a strong sense of shared purpose.

About the role:

You will engineer the systems required to train foundation models at scale. Your objective is to maximize hardware utilization and training throughput on our large-scale GPU clusters (thousands of NVIDIA Blackwell GPUs). You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture, eliminating bottlenecks from the Python layer down to the GPU kernel.

This role is for Aleph Alpha Research GmbH.

Your responsibilities:

End-to-End Optimization: Profile training loops using PyTorch Profiler, Nsight Systems and Nsight Compute to identify system- and kernel-level bottlenecks in order to maximize model throughput.
Distributed Strategy and Topology: Configure and tune composite parallelism strategies (e.g. TP, DP, HSDP/FSDP, EP), optimizing load balance, minimizing critical-path bottlenecks, and managing communication-to-computation trade-offs for large-scale LLM training.
Hardware-Aware Modeling: Partner with AI Researchers to define model architectures for hardware efficiency without compromising convergence.

Your Profile

Basic Qualifications

Are proficient in Python and the PyTorch library.
Have a strong engineering background in parallel and/or distributed systems with proven track record of excellence.
Have hands-on experience with modern machine learning techniques (especially large language models and their life cycle).
Deeply understand the CUDA programming model.
Have experience in distributed programming with APIs like NCCL or MPI.
Have experience analysing profiling traces with tools such as PyTorch Profiler and Nvidia Nsight.
Please note this role requires regular on-site collaboration in Heidelberg as a member of the Training Efficiency Team.

Preferred Qualifications

Contributions to modern distributed training frameworks (e.g., TorchTitan, Megatron-LM, DeepSpeed).
Familiarity with low-precision training formats (MXFP4, MXFP8) and their impact on numerical stability and throughput.
A deep understanding of NCCL communication primitives, NVSHMEM or CUDA IPC and their performance.
A proven track record of implementing and optimising modern transformer-based model training.
A proven track record working on the NVIDIA Blackwell architecture.

Compensation and Benefits

Become part of an AI revolution!
30 days of paid vacation
Access to a variety of fitness & wellness offerings via Wellhub
Mental health support through nilo.health
Substantially subsidized company pension plan for your future security
Subsidized Germany-wide transportation ticket
Budget for additional technical equipment
Flexible working hours for better work-life balance and hybrid working model
Virtual Stock Option Plan
JobRad Bike Lease

Jetzt bewerben

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DevOps Engineer – Platform Operations (m/w/d) vor Ort in St. Leon-Rot

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Ich möchte aktuelle Job-E-Mails für Stellen als python in heidelberg erhalten

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