Cerebras Systems
The ML Quality Engineer ensures the quality of Cerebras software across supported ML workloads and workflows as part of the ML Integration and Quality (MIQ) team. The role focuses on pre-deployment and production validation, customer workload validation, and influencing best practices for testing, debugging, and cross-team communication. The position contributes to product readiness for large-scale ML training and inference deployments.
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.
Cerebras Systems Raises $1.1 Billion Series G at $8.1 Billion Valuation
Sep 30, 2025