SDET (ML Automation and Quality)

Cerebras Systems(1 month ago)

HybridFull TimeMedior$125,649 - $166,941 (estimated)ML Integration and Quality (MIQ)

About this role

The ML Quality Engineer ensures the quality of Cerebras software across supported ML workloads and workflows as part of the ML Integration and Quality (MIQ) team. The role focuses on pre-deployment and production validation, customer workload validation, and influencing best practices for testing, debugging, and cross-team communication. The position contributes to product readiness for large-scale ML training and inference deployments.

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Required Skills

Software Quality
Testing
ML Models
Automation
Debugging
Test Plans
Performance
Usability
Monitoring
Tooling

+9 more

About Cerebras Systems

cerebras.ai

Cerebras builds purpose‑built AI compute systems centered on its wafer‑scale processors to accelerate training and inference of large neural networks. Their integrated hardware‑and‑software platform delivers high throughput, low latency, and very large on‑chip memory/interconnect to shorten time‑to‑train for demanding AI workloads. Cerebras targets research labs and enterprises that need to scale experiments and deploy large models more quickly, pairing systems, tooling, and support to simplify large‑model development.