Cerebras Systems
The role focuses on rapidly bringing up state-of-the-art open-source models, frameworks, and data engineering on Cerebras CSX systems. It requires a system‑minded generalist who can work across the full AI software stack, from model architecture translation to compiler optimizations and runtime integration, ensuring high performance and scalability.
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.
50% above the average for this role
Cerebras Systems Raises $1.1 Billion Series G at $8.1 Billion Valuation
Sep 30, 2025
Senior Managed Runtime Compiler Engineer
NVIDIA
AI Software Engineer, LLM Inference Performance Analysis - New College Grad 2026
NVIDIA
AI Compiler Engineer (Entry‑Level / New College Graduate)
Renesas 瑞萨电子
Compiler Optimization Engineer
NVIDIA
AI Performance Engineer - New Grad
SambaNova Systems
Senior Machine Learning Applications and Compiler Engineer
Coherent