8 beste Stellen als python in mannheim, bw – aktuell auf Personalsuche

Senior Performance Engineer- Pre-training(f/m/d)
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- Vollzeit
- Hybrides Arbeiten
- Master
- Machine Learning
- APIs
- Flexible Arbeitszeiten
GenAI Solutions Architect (w|m|d)
BridgingIT GmbH —Mannheim
- 60.000 € – 90.000 € pro Jahr
- Vollzeit
- Azure
- AWS
- Künstliche Intelligenz
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Cloud Solution Architect (m/w/d)
EPI-USE Labs GmbH —Walldorf
- Vollzeit
- Azure
- Informatik
- Ingenieurwissenschaft
Postdoc in der AG Bioinformatik - RNA (m/w/d)
Universitätsklinikum Heidelberg —Heidelberg
- Vollzeit
- Doktorat
- Datenanalyse
- Englisch
- Gleitzeit
- Weiterbildungsprogramme
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Senior Software Engineer- Evaluation (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Python
- Flexible Arbeitszeiten
Bachelor/Master Thesis oder Praxissemester im Bereich Software-Entwicklung
mbits imaging GmbH —Heidelberg
- Arbeitgeber anrufen
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- Softwareentwicklung
- Homeoffice-Möglichkeit
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tts GmbH —Heidelberg
- Per E-Mail
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- Englisch
- AWS
- Linux
- Flexible Arbeitszeiten
Lead AI Engineer / Architect (m/w/d) - Agentic Systems
Limbach Gruppe —Heidelberg
- Vollzeit
- Systemdesign
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme

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Senior Performance Engineer- 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
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 Performance Engineer 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

Erweiterte Suche

python Jobs in mannheim, bw

Senior Performance Engineer- Pre-training(f/m/d)

GenAI Solutions Architect (w|m|d)

Cloud Solution Architect (m/w/d)

Postdoc in der AG Bioinformatik - RNA (m/w/d)

Senior Software Engineer- Evaluation (f/m/d)

Bachelor/Master Thesis oder Praxissemester im Bereich Software-Entwicklung

Senior Cloud Automation Engineer / Sys Ops (m/w/d)

Lead AI Engineer / Architect (m/w/d) - Agentic Systems

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