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.
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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Top Skills
What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.
Join us: https://cerebras.net/careers/
