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 Systems Integration Engineer to join our dynamic Systems team. This role focuses on system validation, system bring-up, integration testing, and end-to-end debugging of high-performance, high-power AI compute systems. You will work cross-functionally to drive issues from initial symptom through root cause and final resolution. Ideal candidates are technically broad, hands-on problem solvers who thrive in a fast-paced, collaborative environment.
Key Responsibilities- Rapidly ramp up on electrical, thermal, and mechanical aspects of our wafer-scale systems.
- Own and execute system bring-up, hardware integration, and validation test plans.
- Isolate and debug complex failures across HW/SW boundaries; drive root cause analysis and corrective action.
- Collaborate cross-functionally with silicon, hardware, software, validation, and manufacturing teams to resolve issues.
- Analyze test results and provide actionable recommendations to improve design and processes.
- Participate in design reviews and contribute design-for-test ideas for future products • Interface with vendors, suppliers, and internal engineering stakeholders to ensure system-level performance and reliability.
- Use scripting tools (e.g., Python) to automate tests and data collection workflows.
- Leverage telemetry and log data to identify system performance issues or failure trends.
- Support condition monitoring and potential predictive maintenance efforts.
- Strong understanding of embedded systems with an emphasis on debugging complex issues.
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field.
- 4–7 years of industry experience in hardware validation, system bring-up, or integration roles.
- Demonstrated ability to isolate and resolve complex, cross-domain system failures.
- Hands-on experience using lab equipment (oscilloscopes, logic analyzers, etc.).
- Experience with reading schematics, board layouts, and debugging electrical/mechanical issues.
- Strong scripting skills (Python preferred) and experience working in Linux environments.
- Excellent analytical, troubleshooting, and communication skills.
- Familiarity with telemetry systems, sensor data, and reliability metrics.
- Exposure to manufacturing test environments and data analysis workflows.
The base salary range for this position is $175,000 to $250,000 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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
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/
