Intrinsic
Senior Software Engineer, ML Ops & Infrastructure(m/w/x)
Full-timeOn-siteSenior
München
New Job?Nejo!
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SPSpAItial
Machine Learning & Cloud Infra Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Building 3D world models with generative AI on GPU clusters. ML infrastructure experience preferred. Multi-node, multi-GPU training operations.
Requirements
- 3+ years infrastructure, platform, or cloud engineering experience
- ML infrastructure experience strongly preferred
- Hands-on GPU compute experience
- GPU performance debugging experience
- CUDA/NCCL concepts knowledge
- GPU utilization understanding
- Networking bottlenecks understanding
- Profiling experience
- Strong cloud environment operation experience
- AWS, GCP, or Azure experience
- Cloud networking experience
- Cloud IAM experience
- Cloud cost management experience
- Containers and orchestration proficiency
- Docker proficiency
- Kubernetes proficiency
- Infrastructure-as-code proficiency
- Terraform proficiency
- Strong scripting skills
- Strong automation skills
- Python scripting skills
- Bash/PowerShell scripting skills
- Distributed training familiarity
- Modern ML stacks familiarity
- PyTorch familiarity
- DDP/FSDP familiarity
- Monitoring tooling experience
- Observability tooling experience
- Prometheus/Grafana experience
- OpenTelemetry experience
- ELK experience
- CI/CD experience for infra
- CI/CD experience for ML workflows
- CircleCI experience
- GitHub Actions experience
Tasks
- Design and implement scalable training systems
- Operate GPU clusters for multi-node, multi-GPU training
- Provision and maintain training environments
- Support high-throughput training stacks
- Ensure performance and stability in large runs
- Build and optimize storage systems for petabyte-scale datasets
- Enhance data throughput with caching and data locality
- Package and deploy workloads using Docker and Kubernetes
- Maintain infrastructure-as-code with Terraform
- Implement monitoring and logging for cluster health
- Define SLOs and on-call/incident response practices
- Manage secrets and IAM for secure systems
- Ensure secure network boundaries
- Collaborate with ML researchers and engineers
- Unblock training and improve developer experience
- Support model evaluation and serving infrastructure
- Facilitate smooth transitions from research to production
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Terraform
- Python
- Bash
- PowerShell
- PyTorch
- DDP
- FSDP
- Prometheus
- Grafana
- OpenTelemetry
- ELK
- CircleCI
- GitHub Actions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SPSpAItial
Machine Learning & Cloud Infra Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Building 3D world models with generative AI on GPU clusters. ML infrastructure experience preferred. Multi-node, multi-GPU training operations.
Requirements
- 3+ years infrastructure, platform, or cloud engineering experience
- ML infrastructure experience strongly preferred
- Hands-on GPU compute experience
- GPU performance debugging experience
- CUDA/NCCL concepts knowledge
- GPU utilization understanding
- Networking bottlenecks understanding
- Profiling experience
- Strong cloud environment operation experience
- AWS, GCP, or Azure experience
- Cloud networking experience
- Cloud IAM experience
- Cloud cost management experience
- Containers and orchestration proficiency
- Docker proficiency
- Kubernetes proficiency
- Infrastructure-as-code proficiency
- Terraform proficiency
- Strong scripting skills
- Strong automation skills
- Python scripting skills
- Bash/PowerShell scripting skills
- Distributed training familiarity
- Modern ML stacks familiarity
- PyTorch familiarity
- DDP/FSDP familiarity
- Monitoring tooling experience
- Observability tooling experience
- Prometheus/Grafana experience
- OpenTelemetry experience
- ELK experience
- CI/CD experience for infra
- CI/CD experience for ML workflows
- CircleCI experience
- GitHub Actions experience
Tasks
- Design and implement scalable training systems
- Operate GPU clusters for multi-node, multi-GPU training
- Provision and maintain training environments
- Support high-throughput training stacks
- Ensure performance and stability in large runs
- Build and optimize storage systems for petabyte-scale datasets
- Enhance data throughput with caching and data locality
- Package and deploy workloads using Docker and Kubernetes
- Maintain infrastructure-as-code with Terraform
- Implement monitoring and logging for cluster health
- Define SLOs and on-call/incident response practices
- Manage secrets and IAM for secure systems
- Ensure secure network boundaries
- Collaborate with ML researchers and engineers
- Unblock training and improve developer experience
- Support model evaluation and serving infrastructure
- Facilitate smooth transitions from research to production
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Terraform
- Python
- Bash
- PowerShell
- PyTorch
- DDP
- FSDP
- Prometheus
- Grafana
- OpenTelemetry
- ELK
- CircleCI
- GitHub Actions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SpAItial
Industry
IT
Description
The company is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing.
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