Senior SDET, Inference Platform
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 7H AGO
Infrastructureremotesenior
At a glance
Highlights
- Own quality and reliability of world's fastest AI inference platform.
- Validate platform on cloud and real Cerebras clusters at massive scale.
- Ensure ultra high-speed inference stays fast and production-ready.
Ideal candidate
An infrastructure-obsessed quality engineer who loves automation and deep debugging across distributed systems to keep large-scale AI inference fast, reliable and production-ready.
Requirements
- 3+ years in software, QA, systems, or infrastructure engineering
- Strong programming skills in Python and/or Go
- Experience building automation tools or testing frameworks
- Hands-on experience with CI/CD systems like Jenkins
- Experience debugging complex distributed or networked systems
- Familiarity with systems-level development and infrastructure tooling
- Strong cross-layer problem-solving skills
- Excellent communication and collaboration skills
- Experience mentoring junior engineers
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