トレンド企業

Cerebras
Cerebras

Leading company in the artificial intelligence industry

Full Stack Engineer – Manufacturing Test

職種フルスタック
経験ミドル級
勤務地Sunnyvale, Canada, United States
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

JavaScript

SQL

PostgreSQL

MongoDB

Redis

Machine Learning

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.

About the Role

As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability.

Responsibilities

  • Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests.

  • Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests.

  • Create a distributed data storage framework to sync test data across multiple manufacturing facilities.

  • Collaborate with data engineers and data scientists to create interactive reports for visualizing test results.

  • Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle.

Skills and Qualifications

Required

  • Bachelor’s degree in computer science, computer engineering, or related field.

  • 3+ years of professional experience in full-stack software development.

  • Strong proficiency in at least one advanced programming language (e.g. Python, C++).

  • Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis).

  • Experience with front-end technologies and frameworks (e.g. HTML, JavaScript).

Preferred

  • Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control.

  • Experience with application development in Windows and/or Linux.

  • Experience with cloud platforms (e.g. AWS, GCP).

  • Experience with data engineering, data analytics, and/or business intelligence.

  • Experience with UI/UX.

  • Experience with networking and cybersecurity.

The base salary range for this position is $175,000 to $220,000 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:

  • 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.

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

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

2.8

報酬

3.5

企業文化

3.9

キャリア

3.4

経営陣

2.7

72%

知人への推奨率

良い点

Innovative/cutting-edge technology and projects

Great team environment and supportive colleagues

Good learning opportunities and professional development

改善点

Fast-paced environment leading to stress and burnout

Poor work-life balance and long hours

Management lacks direction and support

給与レンジ

32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

面接レビュー

レビュー50件

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