Data Processing Engineer

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

A highly motivated engineer skilled in data processing to help build insights from the data collected from our WSE and Data Center. The role is focused on turning complex data streams into actionable insights to help improve system performance, reliability and overall efficiency. 

Responsibilities

• Design and implement a robust framework for visualizing and analyzing complex datasets.
• Generate insights from data and translate them into actionable recommendations.
• Collaborate with cross-functional teams to understand their data needs and provide solutions.
• Ensure data quality, integrity, and consistency throughout the analysis process.
• Query time series data via SQL and post process using Python.
• Work with the data and systems teams to define requirements and tools.

Skills and Qualifications

• B.S. degree with 5+ years of software development experience.
• At least 3+ years of collaborative development in Python/SQL or similar languages.
• Working with Git, Continuous Integration (Jenkins) and Agile development processes.
• Writing high quality testable code and following good software practices.

Preferred Skills and Qualifications

• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Knowledge of data warehouse concepts and ETL processes.
• Self-starter capable of owning and driving requests to closer.
• Basic understanding of Matlab code to convert to Python.
• Data visualization/Processing and ability to define schemas based on user needs.
• Familiar with Grafana, Prometheus, time-series databases, designing web apps.

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. 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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