Full-Time

Cloud Infrastructure Engineer

Updated on 9/4/2026

Cerebras

Cerebras

1,001-5,000 employees

AI accelerator hardware replacing GPUs

No salary listed

Toronto, ON, Canada + 1 more

More locations: Sunnyvale, CA, USA

Hybrid

Hybrid work arrangement; the posting lists Sunnyvale and Toronto locations.

Category
DevOps & Infrastructure (1)
Required Skills
Kubernetes
FedRAMP
Microsoft Azure
Python
Incident Response
Infrastructure as Code (IaC)
Role-based Access Control
SAML
AWS
Go
Terraform
Google Cloud Platform

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Requirements
  • At least 5 years of experience in cloud infrastructure, Identity and Access Management, identity engineering, or security engineering.
  • Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols including Security Assertion Markup Language, OAuth2, OpenID Connect, System for Cross-domain Identity Management, and role-based access control.
  • Experience designing and operating identity and access controls within Amazon Web Services environments, including building and operating production-level services on Amazon Web Services.
  • Experience working with container technology.
  • Experience deploying and operating services on Kubernetes.
  • Strong automation and coding skills with Python, Go, Terraform, or similar technologies.
  • Experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC 2, FedRAMP, or ITAR.
  • Experience supporting and improving production-level services through monitoring, troubleshooting, incident response, and automation.
  • Ability to collaborate and communicate effectively, drive projects, and influence technical decisions across teams.
Responsibilities
  • Design, build, and operate secure, scalable cloud infrastructure and identity platforms in Amazon Web Services and the company's data centers.
  • Implement and manage Identity and Access Management, Identity Governance and Administration, authentication, authorization, single sign-on, multifactor authentication, identity lifecycle management, and provisioning and deprovisioning solutions using modern identity platforms and standards such as Security Assertion Markup Language, OAuth2, OpenID Connect, and System for Cross-domain Identity Management.
  • Develop automation, integrations, and infrastructure-as-code solutions using Terraform, Python, and Go.
  • Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to service identity, secrets management, key management, authentication, and authorization.
  • Partner with Security and Engineering teams to deliver secure-by-design solutions, implement Zero Trust principles, and reduce operational friction.
  • Write reliable code, participate in architecture and code reviews, support critical production systems, and drive operational excellence through scalability, resiliency, and automation.
  • Participate in on-call duties and incident response for the Developer Productivity organization.
Desired Qualifications
  • Hands-on experience with identity platforms such as Okta, Microsoft Entra ID (Azure Active Directory), and modern Identity and Access Management or Identity Governance and Administration platforms.
  • Experience with Microsoft Azure and/or Google Cloud Platform.

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company’s goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Sunnyvale, California

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 core cloud revenue jumped 287% to $127.7 million, proving inference demand.
  • Management raised 2026 core revenue guidance to $880–890 million after beating core revenue.
  • Compute Nordic and other contracts give Cerebras over 600 megawatts contracted through 2027.

What critics are saying

  • OpenAI concentration dominates: one multiyear customer anchors the $25.4 billion backlog.
  • Q3 2026 core margin guides negative 23% to negative 25%, pressuring profitability.
  • Nvidia Blackwell and AMD Helios directly attack inference economics; Cerebras loses if customers standardize elsewhere.

What makes Cerebras unique

  • Cerebras' CS-4 pairs wafer-scale silicon with ultra-low-latency inference, launched August 18, 2026.
  • OpenAI's GPT-5.6 Sol uses Cerebras for 14x faster Ultrafast mode on August 13, 2026.
  • Cerebras signed a 165 MW Finland data-centre build with seven-year contracted capacity on September 1, 2026.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

401(k) Company Match

401(k) Retirement Plan

Mental Health Support

Wellness Program

Paid Sick Leave

Paid Holidays

Paid Vacation

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-4%

2 year growth

0%
Associated Press
Sep 1st, 2026
Cerebras and Compute Nordic launch 165 MW AI data centre in Finland with $1.9B investment

Cerebras Systems has announced a new AI data centre in Mikkeli, Finland, developed with Compute Nordic Finland. The facility will scale in phases to 165 MW of contracted IT capacity, with construction on the initial 50 MW phase already under way. The agreement includes seven-year contract terms for each service order. Independent analysis estimates the project represents an investment of €1.0–1.7 billion at full scale, supporting 80–250 direct permanent jobs and €0.8–2.5 million per year in property tax revenue. The facility is designed for efficiency, using closed-loop cooling systems and supporting waste-heat recovery. Capacity will scale from 50 MW to 80 MW to the full 165 MW as demand grows.

Yahoo Finance
Aug 25th, 2026
Cerebras shares down 40% from May peak as UBS sets $330 target with 78% upside

Cerebras Systems trades at $185.43, while the average Wall Street price target sits at $291.64, implying 57% upside. Ten of 11 analysts rate it Buy despite shares falling 40% from their May high of $311.07. The AI chipmaker's second-quarter revenue of $180.11 million missed the $193.55 million estimate. Management guided third-quarter core operating margin to negative 23% to negative 25%, down from negative 16% in the second quarter. The selloff was company-specific. Nvidia fell just 7% and AMD dropped 10% over the same period. UBS analyst Timothy Arcuri maintains a $330 street-high target, citing the pending CS-4 wafer-scale platform launch and gross margins expected to scale above 40% as yields mature.

Yahoo Finance
Aug 22nd, 2026
Cerebras core revenue up 103% to $210M as cloud quadruples but GAAP hardware sales drop 23%

Cerebras Systems reported second-quarter core revenue of $209.9 million, up 103% year-on-year and exceeding guidance of approximately $194 million. However, GAAP revenue of $180.1 million fell short of the $194.23 million consensus. The quarter revealed a sharp revenue mix shift. Cloud and other services revenue roughly quadrupled to $126 million, whilst GAAP hardware revenue declined 23% to $54.1 million. Core hardware revenue rose 17% year-on-year to $82.1 million but dropped 26% sequentially from $111.6 million. Shares fell 11.9% to $231.01 following the report. The company raised its 2026 core revenue forecast to $880–890 million from $855–865 million and reported $25.4 billion in remaining performance obligations, supported by a multiyear OpenAI agreement.

Yahoo Finance
Aug 21st, 2026
Cerebras unveils CS-4 AI system with 750 PFLOPS, 30x faster inference than GPUs

Cerebras unveiled its fourth-generation CS-4 AI system, claiming inference speeds exceeding 4,400 tokens per second per user on GPT-OSS-120B — up to 30 times faster than GPU-based solutions. The CS-4 delivers 750 PFLOPS of AI compute and 7.2 Tbps of I/O, with 10 times more throughput per watt than the previous CS-3. The company reported second-quarter 2026 core cloud and services revenues of $127.7 million, up 287% year over year. Total core revenues rose 103% to $209.9 million. Cerebras disclosed $25.4 billion in remaining performance obligations and over 600 megawatts of data-centre capacity under contract for delivery by end of 2027. The company faces competition from NVIDIA, which reported $75.2 billion in first-quarter fiscal 2027 data-centre revenues, and AMD's Helios platform.

Tech in Asia
Aug 19th, 2026
Cerebras unveils CS-4 rack with three WSE-3 Turbo chips for AI inference

Cerebras Systems unveiled its CS-4 server rack for AI inference on 18 August in San Francisco. The Sunnyvale, California-based chipmaker said the system uses three WSE-3 Turbo chips and new networking components. CS-4 is the first product based on Cerebras' Nexus architecture, a modular design for compute, power, and input/output. The system features programmable input/output and direct wafer links to connect wafers within and across racks with lower latency. The chips are manufactured using TSMC's 5-nanometre process. The launch follows Cerebras reporting an adjusted loss of $6.9 million on sales of $180.1 million last week. The system will be available in the third quarter. Cerebras competes with Nvidia in inference hardware for workloads such as chatbot response generation.