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求人Cerebras

Data Center - Network Fiber Engineer

Cerebras

Data Center - Network Fiber Engineer

Cerebras

Remote, California, United States

·

Remote

·

Full-time

·

2d ago

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top 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.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

The Role

Cerebras is seeking a Network & Fiber Engineer to lead the design, deployment, and validation of high-performance network and fiber infrastructure across colocation data centers. This role is critical to enabling AI-scale compute clusters by ensuring low-latency, high-throughput connectivity between racks, data halls, and external networks. You will operate with high ownership in a fast-paced startup environment, working closely with construction, commissioning, and IT teams to bring network infrastructure online quickly and reliably.

Responsibilities

  • Own end-to-end fiber and network infrastructure deployment across colo data center sites.

  • Design fiber pathways, structured cabling systems, and high-density fiber distribution architectures.

  • Oversee installation of fiber (SMF/MMF), patch panels, trays, and cable management systems.

  • Coordinate with construction and commissioning teams to align network readiness with overall site delivery.

  • Validate fiber installations including testing (OTDR, insertion loss, continuity).

  • Support deployment of network hardware including switches, routers, and interconnects.

  • Ensure low-latency, high-bandwidth connectivity across racks and clusters.

  • Develop and maintain standards for fiber design, labeling, and documentation.

  • Troubleshoot network and fiber issues during deployment and post-handover.

  • Manage vendors, installers, and low-voltage contractors.

  • Track progress, risks, and readiness across multiple sites.

  • Coordinate with colo providers for meet-me room (MMR) connectivity and cross-connects.

  • Ensure alignment on demarcation points and handoff standards.

  • Manage external connectivity including ISP, dark fiber, and backbone integration.

  • Validate provider fiber infrastructure and resolve interface issues.

Skills & Qualifications

  • 7–12+ years of experience in network and/or fiber engineering in data centers or telecom environments.

  • Strong experience with fiber design, installation, and testing (OTDR, power meter).

  • Familiarity with high-density fiber systems (MPO/MTP).

  • Experience deploying and troubleshooting network infrastructure.

  • Understanding of data center architectures and high-performance computing environments.

  • Experience working in colo environments is highly preferred.

  • Ability to manage multiple concurrent deployments.

  • Strong problem-solving and troubleshooting skills.

  • Excellent communication and coordination abilities.

Location: Remote, USA

The base salary range for this position is $250,000 to $290,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

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.

Read our blog: Five Reasons to Join Cerebras in 2026.

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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Cerebrasについて

Cerebras

Cerebras

Series F+

Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.

201-500

従業員数

Sunnyvale

本社所在地

$4.1B

企業価値

レビュー

4.0

10件のレビュー

ワークライフバランス

2.8

報酬

4.2

企業文化

4.1

キャリア

4.3

経営陣

3.5

72%

友人に勧める

良い点

Innovative and cutting-edge technology

Supportive and collaborative team environment

Good compensation and benefits

改善点

Work-life balance challenges

High workload and expectations

Fast-paced and stressful environment

給与レンジ

33件のデータ

Mid/L4

Mid/L4 · Customer Solutions Architect

1件のレポート

$192,007

年収総額

基本給

$166,962

ストック

-

ボーナス

-

$192,007

$192,007

面接体験

50件の面接

難易度

3.9

/ 5

期間

21-35週間

内定率

23%

体験

ポジティブ 72%

普通 9%

ネガティブ 19%

面接プロセス

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

よくある質問

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts