ML API Features SDET
Cerebras Systems(5 days ago)
About this role
A Software Engineer in Test on the ML API Features team at Cerebras validates AI/ML models and the software/hardware integration of the company's inference solution. The role focuses on feature integration quality, pre-deployment and production validation, and ensuring model accuracy, fairness, and performance. The engineer partners cross-functionally to influence testing practices and deliver reliable API features for large-scale ML inference.
Required Skills
- Automation
- Python
- C++
- Go
- Distributed Systems
- Debugging
- Performance Testing
- ML Workloads
- Networking
- Storage
+3 more
About Cerebras Systems
cerebras.aiCerebras 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.
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