AI Engineer, Model Quality and Performance
Cerebras · Sunnyvale, CA
CHECKED 7H AGO
Infrastructureonsite
At a glance
Highlights
- Own model quality and performance for Cerebras inference offerings.
- Build AI agents that spin up custom eval suites per customer use case.
- Forecast and benchmark how customer workloads run on Cerebras hardware.
Ideal candidate
You default to automating with AI agents and love turning messy quality signals into trusted product views. You sit happily between engineering, product, and customers to define what 'good' looks like.
Requirements
- Experience building AI agents and shipping real systems using Claude or equivalent
- Strong math/stats background
- Comfort with Docker, Git, and the standard automation stack
- Taste for tooling design with experience shipping tools used by non-engineers
- Performance-tuning experience on custom silicon, GPUs, or FPGAs
- Experience designing evals for agentic, coding, long-context, multimodal use cases
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed