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.
We are looking for a talented and motivated individual, capable of defining, developing and driving the embedded test framework and regression testing. This is a critical role with a significant impact to supplement the team's capability to continue to develop at an aggressive rate while not sacrificing overall quality.
Responsibilities- Work with developers to define and develop test automation and infrastructure.
- Continuous improvement of test coverage, performance and speed.
- Break down complex systems into testable sub blocks.
- Build out the Embedded Test Framework, including components to emulate hardware functionality.
- Create verification test plans and protocols.
- Play a vital role in raising the quality of software and identifying areas of risk.
- Cross-functional work across multiple teams to identify and root-cause failures in the field.
- S. degree with 5+ years of software development experience.
- At least 3+ years of collaborative development in Python specific to testing.
- Experienced interfacing to Embedded Systems running Linux or bare metal microcontrollers.
- Working with Git, Continuous Integration (Jenkins) and Agile development processes.
- Writing high quality testable code and following good software practices.
- Familiar with Bash, Make, C/C++ and Board Design.
- Worked with RPi’s and STM Discovery boards and Jenkin Nodes.
- Interfaced with device protocols: I2C, SPI, RS484, JTAG, UART, and CAN.
- Worked with Pytest or a similar test framework.
The base salary range for this position is $170,000 to $225,000 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 2025.
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/
