20 beste Stellen als python developer in oberpfaffenhofen – aktuell auf Personalsuche

Machine Learning & Cloud Infra Engineer
SpAItial —München
- Vollzeit
- Azure
- AWS
- Machine Learning
Senior Research Engineer, Data Engine
Intrinsic —München
- 128.000 € – 131.200 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- C++
DevOps & Developer Infrastructure (m/w/d)
citema systems GmbH —München
- Informatik
- DevOps
- Softwareentwicklung
Staff Product Security Engineer
Tools for Humanity —München
- 182.000 € – 210.000 € pro Jahr
- Vollzeit
- AWS
- Python
- Softwareentwicklungszyklus
- Kostenbeteiligung am Arbeitsweg
- Lebensversicherung
Finance, Data & Automation Analyst (m/w/d)
OG3 Holding GmbH —München
- Vollzeit
- Microsoft Powerpoint
- CRM-Software
- Microsoft Excel
Direkt bewerben
Safety Enablement Engineer (f/m/d)
NXP Semiconductors —München
- Vollzeit
- Java
- Scripting
- Softwareentwicklung
14 Tage
Team Lead Machine Learning (m/f/x) - Remote Sensing
osapiens —München
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Software Engineer, Data Platform
Tools for Humanity —München
- Vollzeit
- Systemdesign
- SQL
- AWS
Internship Quantitative Trading (Market Making) (m/f/x)
Scalable GmbH —München
- Hybrides Arbeiten
- Microsoft Excel
- Doktorat
- Datenanalyse
Direkt bewerben
Team Lead Machine Learning (m/f/x)
osapiens —München
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Lead Developer (m/w/d)
Hoffmann Group —München
- Azure
- Englisch
- Java
- Kostenbeteiligung am Arbeitsweg
- Mitarbeiter-Rabatt
Expert Manager, Software Engineering
Bain & Co. —München
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
Senior Software Engineer, Applied AI
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
7 Tage
Solution Architect - AI Governance
NVIDIA —München
- Vollzeit
- Master
- Bachelor
- Künstliche Intelligenz
11 Std.
Embedded Software Architect (C/C++) (f/m/d)
Munich Electrification —München
- Vollzeit
- Hybrides Arbeiten
- C++
- Python
- Homeoffice-Möglichkeit
Direkt bewerben
Enterprise Services Engineer
Tanium —München
- Homeoffice
- Python
Direkt bewerben
4 Tage
Senior AI & Data Platform Engineer - Ontologies (f/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- Java
- Flexible Arbeitszeiten
13 Tage
Site Reliability Engineer (m/f/d)
Allianz —München
- Vollzeit
- Azure
- DevOps
- Java
13 Tage
German Speaking Senior Solutions Engineer
Ignite —München
- Bis zu 80.000 € pro Jahr
- Vollzeit
- APIs
- Künstliche Intelligenz
- Python
Direkt bewerben
12 Std.
Linux Infrastructure Engineer - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Windows
- Scripting
- Linux
Direkt bewerben

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

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

python developer jobs near oberpfaffenhofen

Machine Learning & Cloud Infra Engineer

SpAItial
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Kostenmanagement
CI/CD
Azure
Node.js
Kubernetes
Google Cloud Platform
Bash
AWS
Docker
Machine Learning
Terraform
Scripting
GitHub
Python
PowerShell
Debugging
Identitätsmanagement

Vollständige Stellenbeschreibung

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.

We’re looking for bold, innovative individuals driven by a passion for tackling hard problems in generative 3D AI. You should thrive in an environment where creativity meets technical challenge, take pride in craft, and collaborate closely with a small team building frontier systems.

We are seeking a Machine Learning & Cloud Infra Engineer to build and own the infrastructure that powers our World Model research and productization. You will design, implement, and operate scalable training and data systems for large diffusion-based generative models, spanning GPU clusters, storage, orchestration, and reliable model serving. This role is hands-on and systems-focused, enabling researchers and engineers to train, evaluate, and deploy world-scale models efficiently and safely.

Responsibilities

Own and evolve the ML + cloud infrastructure that enables training and evaluation of massive foundation models.
Design and operate GPU clusters: Provision, scale, and maintain multi-node, multi-GPU training environments (on cloud and/or on-prem), including scheduling, quotas, and capacity planning.
Distributed training enablement: Support high-throughput training stacks (e.g., PyTorch DDP/FSDP, NCCL) and ensure performance, stability, and reproducibility across large runs.
Storage and data throughput: Build and optimize storage systems and networking for petabyte-scale datasets and high-bandwidth training (object storage, NVMe, shared filesystems, caching, data locality).
Containerization and orchestration: Package and deploy workloads with Docker and Kubernetes (or comparable systems); maintain infrastructure-as-code (Terraform) and reliable release processes.
Observability and reliability: Implement monitoring, logging, and alerting for cluster health, job performance, and cost; define SLOs and on-call/incident response practices.
Security and access: Manage secrets, IAM, and secure network boundaries for research and production systems.
Collaboration: Partner closely with ML researchers and engineers to unblock training, iterate on tooling, and improve developer experience.
Production pathways: Support model evaluation and serving infrastructure where needed, and ensure smooth transitions from research to deployable systems.

Key Qualifications:

3+ years of professional experience in infrastructure, platform, or cloud engineering (ML infrastructure experience strongly preferred).
Hands-on experience with GPU compute and performance debugging (CUDA/NCCL concepts, GPU utilization, networking bottlenecks, profiling).
Strong experience operating cloud environments (AWS, GCP, or Azure), including networking, IAM, and cost management.
Proficiency with containers and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform).
Strong scripting and automation skills (Python plus Bash/PowerShell).
Familiarity with distributed training and modern ML stacks (PyTorch; DDP/FSDP or comparable).
Experience with monitoring and observability tooling (Prometheus/Grafana, OpenTelemetry, ELK, or similar).
Experience building CI/CD for infra and ML workflows (e.g., CircleCI, GitHub Actions).

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Jetzt bewerben

Erweiterte Suche

python developer Jobs in oberpfaffenhofen

Machine Learning & Cloud Infra Engineer

Senior Research Engineer, Data Engine

DevOps & Developer Infrastructure (m/w/d)

Staff Product Security Engineer

Finance, Data & Automation Analyst (m/w/d)

Safety Enablement Engineer (f/m/d)

Team Lead Machine Learning (m/f/x) - Remote Sensing

Software Engineer, Data Platform

Internship Quantitative Trading (Market Making) (m/f/x)

Team Lead Machine Learning (m/f/x)

Lead Developer (m/w/d)

Expert Manager, Software Engineering

Senior Software Engineer, Applied AI

Solution Architect - AI Governance

Embedded Software Architect (C/C++) (f/m/d)

Enterprise Services Engineer

Senior AI & Data Platform Engineer - Ontologies (f/m/x)

Site Reliability Engineer (m/f/d)

German Speaking Senior Solutions Engineer

Linux Infrastructure Engineer - RoboGym (human)

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

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt