Cerebras Systems
This role involves developing and maintaining CI/CD pipelines, managing artifact lifecycle systems, and optimizing cloud infrastructure to support reliable build and release workflows at scale. The candidate will partner with development teams to improve code review processes, troubleshoot infrastructure issues, and contribute to internal tooling that enhances engineering productivity for AI workloads.
Headquarters
Sunnyvale, California, United States
Company Size
201-500 employees
Founded
2015
Cerebras is an AI compute company powering the world's fastest AI inference through its proprietary Wafer-Scale Engine chip, which is purpose-built for ultra-fast AI and 58x larger than GPUs. The company offers cloud, dedicated, and on-premises deployment options, enabling developers and enterprises to serve, fine-tune, and pre-train large models at speeds up to 15x faster than GPU-based systems. Cerebras serves a broad range of customers—from leading AI labs like OpenAI to enterprises in healthcare, finance, and software—through a developer-friendly API with drop-in OpenAI compatibility.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Cerebras Systems.
Cerebras Systems didn’t post a salary, so this is our estimate from similar listings.
21% below the average for this role
Cerebras Systems Raises $1.1 Billion Series G at $8.1 Billion Valuation
Sep 30, 2025