Postuler

Publié il y a 3 mois

Sr. Data Center Network Provisioning Engineer

@ Cerebras Systems

Toronto, Ontario

HybrideTemps plein5+ ans d’expérience
Postuler
SIGNAUX

En bref

Cerebras Systems is hiring a Senior Data Center Provisioning Engineer to provision, commission and validate network infrastructure, servers and related systems across large-scale data center deployments. The role combines hands-on networking and systems troubleshooting with automation and handoff to operations teams, and requires 20% travel including international. Full-time, with locations in Norway, Finland, Toronto and Sunnyvale.

Responsabilités :

  • Provision and configure network devices, firewalls and servers
  • Troubleshoot server, network and connectivity issues during bring-up
  • Support network, power and mechanical commissioning
  • Build and improve provisioning automation and tooling
  • Hand off infrastructure to operations teams and document procedures

Résumé des exigences :

  • Bachelor's degree in an electrical, computer or related engineering field
  • At least 5 years of network, server or data center experience
  • Proficiency in Python, shell scripting and Linux
  • Experience with Kubernetes and a major cloud platform
  • Experience with Terraform and Ansible
  • Strong networking fundamentals including BGP, OSPF and VLANs

Outils et compétences

Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-08-18
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-06

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineTI
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : modérés
PositionAssis et debout
Exigences physiquesphysique modéré · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesElectrical Engineering, Computer Science, Computer Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Cerebras Systems

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

The World's Fastest AI Inference

Description complète de l’entreprise

Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/

Abonnés LinkedIn
119 613
Personnes associées sur LinkedIn
970
Bureaux déclarés
  • 1237 E Arques Ave, Sunnyvale, California 94085, US
  • 150 King St W, Toronto, Ontario M5H 1J9, CA
  • Tokyo, JP
  • Bangalore, IN
Catégories d’activité
  • Semiconductor
  • Artificial Intelligence
  • Software
  • Hardware
  • RISC
  • Artificial Intelligence (AI)
  • AI Infrastructure
  • Computer
Autres noms enregistrés
  • Cerebras Systems
  • Cerebras
Spécialités
  • artificial intelligence
  • deep learning
  • natural language processing
  • inference
  • machine learning
  • llm
  • AI
  • enterprise AI
  • and fast inference
Le profil indique une agence de recrutement
Non
Investissement total déclaré
4 674 771 259

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the…

ChampValeur
SecteurSemiconductor Manufacturing
Taille501-1,000 employees
Siège socialSunnyvale, California
Type d’organisationPrivately Held
Spécialitésartificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inference
Offres sur Jobsy41
LinkedInVoir la page
Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Role

The Sr. Datacenter Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data center deployments. This role works closely with engineering teams, data center technicians, vendors, and operations teams to bring new sites and infrastructure online quickly and reliably. The ideal candidate combines strong networking and systems expertise with automation, troubleshooting, and a focus on building repeatable processes that scale across multiple parallel deployments.


Responsibilities

  • Provision and configure network devices, firewalls, and servers in data centers by following documented processes and using purpose-built provisioning frameworks and automation tools.

  • Troubleshoot and resolve server, network, configuration, automation, and connectivity issues encountered during infrastructure provisioning and service bring-up.

  • Collaborate with engineering teams, data center technicians, cabling vendors, and rack integrators to coordinate infrastructure deployment and ensure timely site readiness.

  • Support network, power, and mechanical commissioning, including testing and validation of network connectivity, device configurations, server readiness, and infrastructure dependencies.

  • Develop and continuously improve provisioning processes, tooling, and automation to enable reliable, repeatable, and scalable deployment across multiple sites in parallel.

  • Perform post-deployment validation and support integration with monitoring, alerting, and operational tooling to ensure infrastructure meets production-readiness requirements.

  • Coordinate the successful handoff of deployed infrastructure to Operations & Maintenance (O&M) teams - Cluster Operations, Network Operations, Site Operations.

  • Document deployment procedures, troubleshooting findings, lessons learned, and process improvements to increase deployment efficiency and reliability.

Requirements:

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field.

  • At least 5 years of relevant experience in network device and server provisioning, data center infrastructure, Site Reliability Engineering (SRE), or a related field.

  • Strong hands-on experience with server and network device provisioning and troubleshooting, including diagnosing issues across compute, networking, operating systems, configuration, and automation layers.

  • Proficiency in Python and shell scripting, with experience using automation to streamline infrastructure deployment.

  • Proficient with Linux

  • Hands-on experience with at least one major cloud platform—AWS, GCP, or Azure—and with Kubernetes, including deployment, scaling, troubleshooting, and cluster management.

  • Experience with Infrastructure as Code (IaC) and configuration management technologies, particularly Terraform and Ansible.

  • Strong knowledge of fundamentals and technologies, including PXE, DNS, DHCP, TCP/IP, load balancing, VPCs, firewalls, VLANs, LACP, BGP, and OSPF.

  • Experience upgrading server firmware, switch software OS, and PDU firmware

  • Strong problem-solving, communication, collaboration, and documentation skills, with the ability to work effectively across engineering, operations, field, and vendor teams in fast-paced data center deployment environments.

  • 20% travel required including international.

Location: Norway | Finland | Toronto | Sunnyvale

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Emplois semblables

  • Content Marketing Manager

    Toronto, ON
    85k–100k $/anTemps plein

    Fulfillment IQ

    5+ ansCandidates need supply chain, logistics or fulfillment knowledge, shown through published writing for operators or technology buyers, and typically five to eight years in B2B content or product marketing. They also need practical SEO, GEO and AEO skills, CMS and analytics fluency, and rigorous fact-checking.

    HubSpot, CMS, SharePoint, LinkedIn

    Senior Marketing Manager

    Toronto, ON
    115k–135k $/anTemps plein

    Fulfillment IQ

    6+ ansCandidates need six or more years of B2B marketing, including integrated campaigns they personally built and launched in the last two to three years. They need strong funnel and attribution knowledge and hands-on CRM and marketing automation experience, with HubSpot preferred.

    HubSpot, Salesforce, Marketo, LinkedIn, HubSpot workflows

    Field Marketing Manager

    Toronto, ON
    75k–90k $/anTemps plein

    Fulfillment IQ

    3+ ansFulfillment IQ needs three to six years of B2B field marketing or event experience where the candidate personally owned budgets, vendors and on-site delivery. Hands-on HubSpot or comparable CRM skills are required, along with travel readiness and accurate budget handling.

    HubSpot, CRM

  • Senior Financial Analyst - Origins Global

    Toronto, ON
    Sur placeTemps plein

    Estée Lauder Companies: The company’s products are sold in approximately 150 countries and territories under brand names including: Estée Lauder, Aramis, Clinique, Lab…

    5+ ansEstée Lauder Companies needs 5+ years of experience as a Financial Analyst in FP&A. A CPA, CA, CMA or CGA or equivalent experience is an asset, and CPG or retail experience is preferred. Candidates must work well across cross-functional, global teams and think analytically.

  • Salad Bar Clerk Part Time Day

    Toronto, ON
    Temps partiel

    Loblaw

    Candidates need attention to detail, a team-player attitude and the ability to work independently in a fast-paced store. Prior experience is not required because training is provided.

  • Assistant Front Store Manager, Hourly Full Time Flexible Shifts Greenlight Requisition

    Toronto, ON
    Temps plein

    SDM Toronto Lower Jarvis (S Abdulnabi Pharmacy Inc)

    Candidates need previous retail management experience, strong planning and time management skills, and good communication and coaching abilities. Business and financial judgment and the ability to work well with a management team are also required.

    Work Force Management (WFM)

  • Head of Growth

    Toronto, ON
    Temps plein

    Powered by search

    Powered by Search needs a candidate who has marketed to marketers, personally run SEO, GEO and paid acquisition, and carried a real pipeline number. The candidate must be comfortable on camera and in front of a room, work agent-first with AI tools, and prefer hands-on individual contribution over managing people.

    HubSpot Enterprise, Codex, Claude Code

    Director of SEO

    Toronto, ON
    Temps plein

    Powered by search

    7+ ans5+ gestionCandidates need 7+ years of SEO experience, including 3+ years in B2B SaaS, and 5+ years leading teams. They must have proven expansion revenue results, deep technical SEO, content and link-building expertise, strong AI search visibility knowledge, and experience with GA4, Google Search Console and CRM revenue reporting.

    GA4, Google Search Console, CRM, Google AI Overviews, ChatGPT, Perplexity

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.