Posted 3 months ago
Sr. Data Center Network Provisioning Engineer
@ Cerebras Systems
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-08-18
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Travel | air: moderate |
| Position | Sitting and standing |
| Physical demands | physical moderate · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Electrical Engineering, Computer Science, Computer Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Cerebras Systems
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The World's Fastest AI Inference
Full company description
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/
- LinkedIn followers
- 119,613
- People associated on LinkedIn
- 970
- Reported office locations
- 1237 E Arques Ave, Sunnyvale, California 94085, US
- 150 King St W, Toronto, Ontario M5H 1J9, CA
- Tokyo, JP
- Bangalore, IN
- Business categories
- Semiconductor
- Artificial Intelligence
- Software
- Hardware
- RISC
- Artificial Intelligence (AI)
- AI Infrastructure
- Computer
- Other recorded names
- Cerebras Systems
- Cerebras
- Specialties
- artificial intelligence
- deep learning
- natural language processing
- inference
- machine learning
- llm
- AI
- enterprise AI
- and fast inference
- Profile identifies a recruitment agency
- No
- Reported total investment
- 4,674,771,259
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | Semiconductor Manufacturing |
| Company size | 501-1,000 employees |
| Headquarters | Sunnyvale, California |
| Organization type | Privately Held |
| Specialties | artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inference |
| Open jobs on Jobsy | 41 |
| View page |
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:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
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.
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