Cerebras Systems
Engineering Manager, Inference ML Runtime at Cerebras Systems leads a team focused on powering Cerebras' fastest generative AI inference platform through scalable runtime and serving systems. The role sits at the intersection of machine learning, distributed systems, and high-performance runtime engineering, translating cutting-edge research into production-grade infrastructure for text and multimodal models. It combines technical leadership with people management and execution ownership, contributing to Cerebras’ core inference capabilities.
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.
16% below the average for this role
Cerebras Systems Raises $1.1 Billion Series G at $8.1 Billion Valuation
Sep 30, 2025