12 meilleures offres (site reliability engineer, dgx cloud) (à pourvoir)

Senior Site Reliability Engineer, DGX Cloud
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il y a 9 jours
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Infomaniak Network SA —Genève, GE
- Heures supplémentaires
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- Anglais
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indie Semiconductor —Schlieren, ZH
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Veeda AI —Zürich, ZH
- 100%
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- Niveau Licence
- Sans diplôme d'enseignement supérieur
Postuler rapidement
il y a 8 jours
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Destinus —Zürich, ZH
- 100%
- Travail hybride
- Anglais
- Niveau Master
- C++
Postuler rapidement
Head of Engineering (Europe, 100% remote)
LimeFlight —Wangen-Brüttisellen, ZH
- 100%
- Télétravail
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- Anglais
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Senior HPC AI Cluster Engineer
NVIDIA —Zürich, ZH
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- Windows
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- Scripting
Senior Steam Turbine Service & Upgrade Engineer (m/w/d)
GE Vernova —Baden, AG
- 100%
- Anglais
- Niveau Licence
- Compétences en communication
- Aide au déménagement
Senior Machine Learning Engineer (SOC)
Proton —Genève, GE
- De 46 000 CHF à 74 000 CHF par an
- Niveau Master
- Esprit d'analyse
- Python
Postuler rapidement
Flight Test Instrumentation Engineer
Destinus —Zürich, ZH
- 100%
- Travail hybride
- Niveau Master
- Compétences en communication
Postuler rapidement
Database Platform Engineer
Proton —Genève, GE
- De 50 000 CHF à 76 000 CHF par an
- De garde
- Bases de données
- Linux
- Python
Postuler rapidement
Sales Engineer - Aflex
Watson Marlow Fluid Technology Solutions —Suisse
- Télétravail
- Gestion du personnel
- Niveau Doctorat
- Anglais
- Congés payés
- Congé parental payé

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Senior Site Reliability Engineer, DGX Cloud

NVIDIA -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 9 jours

Qualifications

TCP
Systèmes d'exploitation
Google Cloud Platform
Niveau Master
AWS
Terraform
Splunk
Réseaux informatiques
Technologies de l'information
Puppet
Linux
Python

Description complète du poste

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is driving AI and high-performance computing forward. DGX Cloud aims to deliver a fully managed AI platform on major cloud providers, optimizing AI workloads using high-performance NVIDIA infrastructure. Work with NVIDIA's DGX Cloud team as a Senior Site Reliability Engineer to maintain high-performance DGX Cloud clusters for AI researchers and enterprise clients worldwide.

What you’ll be doing:

Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting
Define SLOs/SLIs, monitor error budgets, and streamline reporting
Support services before they launch through system creation consulting, developing software tools, platforms and frameworks, capacity management, and launch reviews
Maintain services once they are live by measuring and monitoring availability, latency and overall system health
Operate and optimize GPU workloads across AWS, GCP, Azure, OCI, and private clouds
Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity
Lead triage and root-cause analysis of high-severity incidents
Practice balanced incident response and blameless postmortems
Participate in on-call rotation to support production services

What we need to see:

BS in Computer Science or related technical field, or equivalent experience
10+ years of experience operating production services
Expert-level knowledge of Kubernetes administration, containerization, and microservices architecture
Experience with infrastructure automation tools (e.g., Terraform, Ansible, Chef, Puppet)
Proficiency in at least one high-level programming language (e.g., Python, Go)
In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards
Proficient knowledge of SRE principles, encompassing SLOs, SLIs, error budgets, and incident handling
Experience building and operating comprehensive observability stacks (monitoring, logging, tracing) using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.

Ways to stand out from the crowd:

Operating GPU-accelerated clusters with KubeVirt in production
Applying generative-AI techniques to reduce operational toil
Experience with workflow orchestration platforms such as Temporal, Cadence, Airflow, Argo Workflows, or Step Functions
Experience operating and troubleshooting production AI inference workloads across the model-to-GPU stack, including vLLM, SGLang, PyTorch, TensorRT-LLM, NVIDIA Dynamo, CUDA, NCCL, and GPU performance analysis

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site reliability engineer, dgx cloud emplois

Senior Site Reliability Engineer, DGX Cloud

Site Reliability Engineer - Database and Monitoring

Product & Test Engineer

Member of Technical Staff - AI Infrastructure

Software Engineer

Head of Engineering (Europe, 100% remote)

Senior HPC AI Cluster Engineer

Senior Steam Turbine Service & Upgrade Engineer (m/w/d)

Senior Machine Learning Engineer (SOC)

Flight Test Instrumentation Engineer

Database Platform Engineer

Sales Engineer - Aflex

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