9 meilleures offres (computing systems engineer) (à pourvoir)

Senior Site Reliability Engineer, DGX Cloud
NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- AWS
- Réseaux informatiques
il y a 6 jours
Machine Learning Engineer - Foundational
Harmattan AI —Zürich, ZH
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Software Engineer III, Search Quality
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
il y a 11 jours
Software Engineer III, Data Protection Acceleration
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
il y a 6 jours
Electronic Design Engineer, Principal
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Doctorat
- Microsoft Office
- Niveau Master
il y a 6 jours
OT Technical Lead (m/w/d) - Your next role?
Givaudan —Vernier, GE
- Travail hybride
- Informatique
- Anglais
- Windows
- Congés payés
- Congé pour raisons familiales
Principal Cadence Layout Engineer
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Licence
il y a 6 jours
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Principal Engineer, Shopping Graph Core Data
Google —Zürich, ZH
- 100%
- Compétences en communication
3 h

Other jobs to consider

Find your next job by exploring related positions.

IT Desktop Support
Axiom Technologies —Tolochenaz, VD
Respond to service requests and incidents via ticketing system, phone, or in-person. Collaborate with other IT teams on escalated issues or project-related…
8 h
Data Centre Technician,
Axiom Technologies —Buchs, SG
Unbox and prepare hardware during installation; remove and un-rack. Act as on-site hands for remote teams—executing commands, reporting.

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Afficher des offres d'emploi dans d'autres lieux

computing systems engineer jobs near

Site Reliability Engineer, Zürich, ZH : emplois

Senior Software Engineer, Zürich, ZH : emplois

Principal Software Engineer, Zürich, ZH : emplois

Software Test Engineer, Zürich, ZH : emplois

Firmware Engineer, Zürich, ZH : emplois

Site Reliability Engineer, Zug, ZG : emplois

Senior Software Engineer, Basel, BS : emplois

Senior Software Engineer, Bubikon, ZH : emplois

Ai Engineer, Zug, ZG : emplois

Requirements Engineer, Zürich, ZH : emplois

Intern, Liechtenstein : emplois

Research Intern, Genève, GE : emplois

Research Assistant, Lausanne, VD : emplois

Research Intern, Zürich, ZH : emplois

Machine Learning Engineer, Zürich, ZH : emplois

Machine Learning Engineer, Genève, GE : emplois

Google Software Engineer, Kanton Zürich : emplois

Machine Learning Engineer, Canton Of Geneva : emplois

Learning Specialist, Zürich, ZH : emplois

Electronics Engineer, Basel, BL : emplois

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 6 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

Soumettre votre candidature

Affinez votre recherche

computing systems engineer emplois

Senior Site Reliability Engineer, DGX Cloud

Machine Learning Engineer - Foundational

Software Engineer III, Search Quality

Software Engineer III, Data Protection Acceleration

Electronic Design Engineer, Principal

OT Technical Lead (m/w/d) - Your next role?

Principal Cadence Layout Engineer

HPE Labs - EMEA Research Lab Ph.D. Intern

Principal Engineer, Shopping Graph Core Data

Other jobs to consider

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

Related Searches

Afficher des offres d'emploi dans d'autres lieux

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact