Simulation Engineer

Overview

Cerebras Systems builds the world s largest AI chip, 56 times larger than GPUs. This architecture enables industry-leading training and inference speeds, over 10 times faster than GPU-based hyperscale cloud inference services. This speed is transforming the user experience of AI applications, unlocking real-time iteration and increased intelligence via additional agentic computation. Cerebras works with leading model labs, global enterprises, and cutting-edge AI-native startups.

OpenAI recently announced a multi-year partnership with Cerebras to deploy scale and transform workloads with ultra high-speed inference.

As a Software Engineer on the Simulator Team (New College Grad), you will help build and improve the core simulation infrastructure for the next-generation Cerebras Wafer-Scale Engine (WSE). This role spans multiple simulator efforts, including functional simulation and pipeline-accurate simulation, based on team priorities and product needs.

• Develop and maintain simulator infrastructure in C++ for next-generation WSE systems.
• Contribute to both functional simulation (architectural correctness, instruction behavior, and state and memory semantics) and pipeline-accurate simulation (execution behavior, bottleneck analysis, and performance visibility).
• Build features and tooling that improve kernel developer visibility into correctness and performance.
• Work with Design Verification and architecture teams to align simulator behavior with hardware specifications and validate design correctness.
• Build and maintain strong unit, integration, and regression test coverage for simulator quality.
• Improve simulator runtime performance, scalability, and usability for internal engineering workflows.
• Debug complex issues that span simulator models, kernels, compiler/runtime interactions, and hardware assumptions.
• Contribute to code reviews, documentation, and continuous improvement of engineering workflows.

• Bachelor s or Master s degree (or equivalent) in Computer Science, Computer Engineering, or a related field.
• Strong C++ programming skills and software engineering fundamentals.
• Solid understanding of computer architecture concepts, including instruction execution, memory systems, and microarchitecture basics.
• Strong debugging, analytical, and problem-solving skills.
• Ability to collaborate effectively across software and hardware teams.

• Familiarity with architectural, functional, or performance modeling.
• Experience with test automation, regression systems, and CI pipelines.
• Exposure to Python or scripting for tooling and automation.
• Familiarity with parallel systems, accelerators, or ML/HPC workloads.

Find out more about what it s like to work at Cerebras.

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.