Senior Inference ML API SDET
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 7H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Own quality for Cerebras Inference Cloud production releases at scale.
- Validate ultra high-speed AI inference on world's largest AI chip.
- Build scalable test frameworks for multi-region cloud deployments.
Ideal candidate
Senior quality leader with 5+ years testing large-scale systems who thrives in fast-moving environments and cares deeply about customer trust, rigorous validation, and mentoring others.
Requirements
- 5+ years of relevant industry experience in software integration, development, or quality engineering
- Deep expertise in automation and programming using Python, C++, or Go with ability to build reusable test frameworks
- Proven experience testing compute, machine learning, networking, or storage systems in large-scale enterprise environments
- Strong track record debugging complex issues across distributed, scaled-out deployments
- Demonstrated ability to lead cross-functional quality initiatives and drive projects independently
- Excellent verbal and written communication skills with experience presenting to engineering and leadership
- Experience leading and mentoring engineers across geographically dispersed teams and time zones
- remote policy
- Hybrid, 3 days per week in-office; fully remote not available
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