AI Inference Core - Senior SW Engineer for Platform & DevOps
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 7H AGO
Infrastructureremotesenior
At a glance
Highlights
- Build the platform layer powering engineering workflows across Cerebras.
- Turn operational problems into durable, self-service infrastructure improvements.
- Support ultra high-speed AI inference at massive scale.
Ideal candidate
Systems-minded infrastructure engineer with 5+ years building platforms who loves automating away toil, debugging across boundaries, and making complex systems reliable and easy to operate.
Requirements
- 5+ years in platform, DevOps, infrastructure, SRE, or software engineering
- Hands-on building or maintaining CI/CD pipelines and delivery workflows
- Experience deploying and operating Kubernetes containerized services
- Experience with major cloud platform, preferably AWS, and programmatic provisioning
- Strong Linux/Unix operating-system fundamentals
- Understanding of DNS, routing, load balancing, proxies, TLS and connectivity
- Proficiency in Python, Shell or similar for infrastructure automation
- Experience with monitoring, logging and alerting
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