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 global corporations across multiple
industries, national labs, and top-tier healthcare systems. In January, we
announced a multi-year, multi-million-dollar partnership with Mayo Clinic,
underscoring our commitment to transforming AI applications across various
fields. In August, we launched Cerebras Inference, the fastest Generative AI
inference solution in the world, over 10 times faster than GPU-based hyperscale
cloud inference services.
ABOUT THE ROLE
As a Dev Infra engineer at Cerebras Systems, you will be responsible for
designing, developing, and maintaining a robust automation framework that
integrates our AI solutions with databases, cloud infrastructure, and scalable
back-end systems. This role requires a comprehensive understanding of both
front-end and back-end technologies, including experience with Python, MongoDB,
and AI integration. You will work closely with our AI research team and product
managers to deliver high-quality, scalable applications.
RESPONSIBILITIES
- Manage the existing CI/CD and nightly pipeline consisting of Python, Github
and Jenkins.
- Set up and maintain the deployment pipeline using Docker and Kubernetes.
- Ensure the application is scalable and can handle high traffic volumes.
- Implement monitoring and logging solutions to track application performance
and errors.
Frontend Development:
- Design and implement user-friendly interfaces using React.js or Next.js.
- Ensure the application is responsive and works seamlessly across different
devices and browsers.
- Optimize the front-end code for performance and scalability.
Skills And Qualifications
- Bachelor’s or master’s degree in computer science or a related field (or
equivalent work experience).
- Knowledge of Python, Jenkins and Github combination.
- Familiarity with an existing Testing-Framework (like pytest) is a plus.
- Knowledge of AI and natural language processing concepts.
- Experience with Docker and Kubernetes for containerization and orchestration.
Assets
- Familiarity with AI/ML frameworks and tools.
- Deploying and managing a batch-merge-queue solution would help.
- Previous experience working on chat applications or AI-driven products.
- Knowledge of cloud services like AWS, GCP, or Azure.
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 2025.
[https://www.cerebras.net/blog/5-reasons-to-join-cerebras]
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 [https://www.cerebras.net/privacy/] to review our CCPA disclosure
notice.
