招聘
必备技能
Python
Git
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.
Role Overview
As a Software Engineer specializing in automation, you will play a key role in designing and delivering software solutions that improve operational efficiency and streamline business processes. You will develop automation frameworks, tools, and applications that reduce manual effort, enhance system reliability, and support scalable growth across the organization.
In this role, you will collaborate closely with cross functional teams—including engineers, analysts, and business stakeholders—to understand workflow challenges and identify opportunities for automation. Your work may involve building process automation systems, develop real-time monitoring and alerting capabilities, integrating disparate systems, and creating data driven solutions to optimize performance.
Your contributions will help eliminate bottlenecks, reduce operational costs, and enable teams to focus on higher value activities. Ideal candidates have strong software engineering fundamentals, experience with automation tools and scripting languages, and a passion for building efficient, reliable, and elegant solutions in a dynamic environment.
Key Responsibilities
-
Define, develop and support software test automation and infrastructure
-
Continuous improvement of test coverage, performance and speed
-
Break down complex systems into testable sub blocks
-
Play a vital role in raising the quality of software and identifying areas of risk
-
Create an easy-to-use interface for operations to run automation workflows
-
Cross-functional work across multiple teams to identify and root-cause improve processes
Skills and Qualifications
-
B.S. degree or higher with 5+ years of professional software development experience.
-
At least 3+ years of collaborative development in Python.
-
Experience working with Git, Continuous Integration (Jenkins) and Agile development processes.
-
Proven ability to write maintainable, testable, production-quality code.
-
Comfortable working in Linux environments, including shell scripting and Make-based build systems.
-
Capable of working on remote systems, AWS instances and distributed systems
Assets:
-
Experience working with remote systems, AWS instances, and distributed systems.
-
Familiarity with networking fundamentals and designing or testing scalable systems.
-
Working knowledge of C/C++, board bring-up, or firmware development.
-
Worked with Pytest or a similar test framework.
-
Experience interfacing with systems running Linux.
-
Ability to root cause failures across multilayer software/hardware stacks
The base salary range for this position is $190,000 to $230,000 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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
总浏览量
0
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Automation Engineer , RME Regional SSD-FC
Amazon · Missouri City, TX, USA

Automation Engineer
Chobani · Twin Falls, ID

CPU Physical Design Automation Engineer
Intel · US, Texas, Austin

Automation Engineer
Paramount · Los Angeles, CA, US, 90038

Systems Automation Engineer, Data Center Availability Team
Amazon · Seattle, WA, USA
关于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
员工数
Sunnyvale
总部位置
$4.1B
企业估值
评价
4.0
10条评价
工作生活平衡
2.8
薪酬
4.2
企业文化
4.1
职业发展
4.3
管理层
3.5
72%
推荐给朋友
优点
Innovative and cutting-edge technology
Supportive and collaborative team environment
Good compensation and benefits
缺点
Work-life balance challenges
High workload and expectations
Fast-paced and stressful environment
薪资范围
33个数据点
Senior/L5
Senior/L5 · Member of Technical Staff Machine Learning Scientist
1份报告
$292,110
年薪总额
基本工资
$224,700
股票
-
奖金
-
$292,110
$292,110
面试经验
50次面试
难度
3.9
/ 5
时长
21-35周
录用率
23%
体验
正面 72%
中性 9%
负面 19%
面试流程
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
常见问题
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
新闻动态
Nvidia Stock Faces a $20 Billion AI Chip Test as Cerebras Heads for IPO - TechStock²
TechStock²
News
·
6d ago
U.S. IPO Weekly Recap: IPO Calendar Heats Up As AI Chipmaker Cerebras Rejoins The Public Pipeline - Seeking Alpha
Seeking Alpha
News
·
6d ago
Nvidia Rival Cerebras Files For IPO After Scrapping Plans Last Year - Amazon.com (NASDAQ:AMZN), Barclays - Benzinga
Benzinga
News
·
6d ago
AI Chipmaker Cerebras Systems Files Publicly for US IPO - MENA Fintech Association
MENA Fintech Association
News
·
1w ago