AI Engineer, Model Quality and Performance

You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use cases. We want someone whose first instinct is "how do I get an AI agent to do this on a loop."

You'll sit between engineering, product, and customer-facing teams.

What You'll Do

Design eval suites with AI agents in the loop. For every model release, curate a thoughtful mix of advanced, basic, long-context, and customer-use-case-specific evals. Use Claude to generate, validate, and prune candidate test cases at speed.

Build custom evals for target customers by orchestrating AI agents to mine trajectories from their workloads and synthesize representative eval sets.

Automate eval execution end-to-end with AI-driven pipelines on top of standard tooling (Docker, Git, CI). The goal is a system that runs itself between releases, not a script you re-run by hand.

Build automations to forecast and benchmark model performance on Cerebras for our top customers, including modeling how fast customer-specific workloads will run in production.

Build product-quality tooling that synthesizes quality + performance data into a single, easy-to-use view.

Skills & Qualifications

Experience building AI agents. You ship real systems with Claude (or equivalent) as a force multiplier. You've built things that would have been infeasible solo without AI agents in the loop.

Strong math/stats background..

Comfort with Docker, Git, and the standard automation stack

A taste for tooling design. You've shipped something that a non-engineer used without complaining. Bonus if AI helped you ship it.

Assets

Performance-tuning experience on custom silicon, GPUs, or FPGAs.

Experience designing evals for agentic / coding / long-context / multimodal use cases.

Familiarity with open-source eval frameworks (EvalScope, lm-eval-harness, etc.).

Experience building AI agents.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.

Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world.

Enjoy job stability with startup vitality.

Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

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.

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