20 beste Stellen als node.js in planegg, by – aktuell auf Personalsuche

Machine Learning & Cloud Infra Engineer
SpAItial —München
- Vollzeit
- Azure
- AWS
- Machine Learning
Expert Manager, Software Engineering
Bain & Co. —München
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
Senior Software Engineer (f/m/d)
LIQID Investments GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Datenbanken
- Softwareentwicklung
Direkt bewerben
MLOps Engineer - Implementation (f/m/x)
BMW —München
- Vollzeit
- Informatik
- AWS
- Python
- Flexible Arbeitszeiten
Product Engineer Intern
VirtuHire —München
- Vollzeit
- Informatik
- Bachelor
- JavaScript
Direkt bewerben
Senior Backend & Systems Engineer
Cartken —München
- Vollzeit
- DevOps
- APIs
- Linux
- Homeoffice-Möglichkeit
Direkt bewerben
Fullstack Entwickler (m/w/d)
QPlanner —München
- Teilzeit
- Informatik
- Python
- Flexible Arbeitszeiten
Senior Research Engineer - Video Foundation Models (Pre - Training)
Synthesia —München
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
Senior Full Stack Developer (m/w/d) – Schwerpunkt Backend
Bürklin GmbH & Co. KG —Oberhaching
- Vollzeit
- Hybrides Arbeiten
- CRM-Software
- Azure
- Präsentationserfahrung
- Kostenloser Parkplatz
- Homeoffice-Möglichkeit
Direkt bewerben
Software Engineer - Android (all genders)
HolidayCheck Group AG —München
- Vollzeit
- Kostenloser Parkplatz
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
7 Tage
Web-Entwickler/Software-Entwickler (m/w/d)
Monks Vertriebs Ges. mbH —München
- DevOps
- Java
- JavaScript
Senior Backend & DevOps Engineer (m/f/d)
Peter Park System GmbH —München
- Vollzeit
- AWS
- C++
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Product Engineer Intern
Finto —München
- 30.000 € pro Jahr
- Vollzeit
- Informatik
- JavaScript
- APIs
(Senior) Backend Engineer (f/m/d)
Tangany GmbH —München
- Hybrides Arbeiten
- Azure
- DevOps
- Datenbanken
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Backend Entwickler (m/w/d)
QPlanner —München
- Teilzeit
- Informatik
- Python
- Flexible Arbeitszeiten
(Senior) Full-stack Engineer | Carbmee
carbmee GmbH —München
- Vollzeit
- Informatik
- AWS
- Python
Direkt bewerben
6 Std.
Werkstudent:in Full Stack Software Development (GovTech & AI) – 20 € / Stunde (Remote, w/m/d) | Lexaru GmbH
Lexaru GmbH —München
- 20 € pro Stunde
- Teilzeit
- Homeoffice
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
Senior AI Platform Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Java
- Master
- Flexible Arbeitszeiten
Site Reliability Engineer (m/f/d)
Allianz —München
- Vollzeit
- Azure
- DevOps
- Java
IT Operations Specialist (m/w/d) / 100% / München
VIU Deutschland GmbH —München
- Vollzeit
- Englisch
- JavaScript
- Scripting
- Weiterbildungsprogramme

Ich möchte aktuelle Job-E-Mails für Stellen als node.js in planegg, by 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

node.js jobs near planegg, by

Jobs als Machine Learning Engineer in München

Jobs als Site Reliability Engineer in München

Jobs als Full Stack Developer in München

Jobs als Senior Software Engineer in München

Jobs als IT Manager in München

Jobs als Engineer in München

Jobs als Engineering Intern in München

Jobs als Backend Entwickler in München

Jobs als Senior Devops Engineer in München

Jobs als Platform Engineer in München

Jobs als Senior Research Engineer in Hamburg

Jobs als Modeling Simulation Engineer in München

Jobs als Machine Learning Engineer in Kaiserslautern

Jobs als Network Engineer in München

Jobs als Machine Learning Engineer in Böblingen

Jobs als Flight Control Engineer in München

Jobs als Machine Learning Engineer in Köln

Jobs als Machine Learning Engineer in Karlsruhe

Jobs als Head Of Marketing in Hamburg

Jobs als People & Culture Manager in Stuttgart

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

node.js Jobs in planegg, by

Machine Learning & Cloud Infra Engineer

Expert Manager, Software Engineering

Senior Software Engineer (f/m/d)

MLOps Engineer - Implementation (f/m/x)

Product Engineer Intern

Senior Backend & Systems Engineer

Fullstack Entwickler (m/w/d)

Senior Research Engineer - Video Foundation Models (Pre - Training)

Senior Full Stack Developer (m/w/d) – Schwerpunkt Backend

Software Engineer - Android (all genders)

Web-Entwickler/Software-Entwickler (m/w/d)

Senior Backend & DevOps Engineer (m/f/d)

Product Engineer Intern

(Senior) Backend Engineer (f/m/d)

Backend Entwickler (m/w/d)

(Senior) Full-stack Engineer | Carbmee

Werkstudent:in Full Stack Software Development (GovTech & AI) – 20 € / Stunde (Remote, w/m/d) | Lexaru GmbH

Senior AI Platform Engineer (f/m/x)

Site Reliability Engineer (m/f/d)

IT Operations Specialist (m/w/d) / 100% / München

Ich möchte aktuelle Job-E-Mails für Stellen als node.js in planegg, by erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt