6 meilleures offres (python developer, switzerland) (à pourvoir)

Senior HPC AI Cluster Engineer
NVIDIA —Zürich, ZH
- 100%
- Windows
- AWS
- Scripting
Pre-Sales Engineer
Develocity —Home Office
- Télétravail
- Niveau Licence
- Sans diplôme d'enseignement supérieur
- Compétences en communication
Postuler rapidement
Forward Deployed Engineer - Software Engineer - Switzerland
ElevenLabs —Suisse
- 100%
- Télétravail
- Anglais
- Développement logiciel
- Technologies de l'information
il y a 1 jour
Senior Customer Solution Architect – AI & Automation (m/f/d)
CDQ AG —Suisse
- 100%
- Télétravail
- Anglais
- Niveau Master
- Esprit d'analyse
- Travail à domicile
Deployment Strategist - Switzerland - Global Expansion
ElevenLabs —Suisse
- 100%
- Télétravail
- Anglais
- Niveau Master
- Compétences en communication
il y a 1 jour
Customer Success Engineer - German Speaker (Switzerland)
Deepgram —Suisse
- De 140 000 CHF à 175 000 CHF par an
- Heures supplémentaires
- Télétravail
- Python

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Senior HPC AI Cluster Engineer

NVIDIA -
Zürich, ZH

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Détails de l'emploi

100% | Temps de travail : 90-100%

Avantages

Logement

Qualifications

TCP
Google Cloud Platform
Windows
Bash
AWS
Équipement informatique
Ethernet
Scripting
Réseaux informatiques
VMWare
Puppet
Linux
Python

Description complète du poste

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you will be doing:

Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements

What we need to see:

A degree in Computer Science, Engineering, or a related field and 8+ years of experience
Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, Weka.io. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience.
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

Ways to stand out from the crowd:

Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Experience with RDMA (InfiniBand or RoCE) fabrics

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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