Senior Software Development Engineer in Test (SDET) - AI Cluster
Cerebras Systems2 months ago
Responsibilities
- Define optimized test strategies and methodologies for AI infrastructure.
- Build automated tests for cluster features, including high availability, failure scenarios, performance, stress, and security.
- Break large distributed ML training and inference systems into components suitable for unit testing.
- Test cluster software and hardware, including Kubernetes, Prometheus, Grafana, ML wafer-scale accelerators, CPU runtime nodes, SwarmX interconnects, and MemoryX data-transfer systems.
- Champion cluster security, reliability, observability, and 99.9999% uptime.
Requirements
- Bachelor’s or master’s degree in computer science, electrical engineering, AI, data science, or a related field.
- 5+ years of experience testing enterprise software, distributed systems, datacenter hardware, or datacenter software.
- Strong coding skills in Python, Golang, or C/C++.
- Strong debugging skills for large distributed systems, hardware, and software, including experience with tools such as pdb, gdb, strace, and network monitors.
- Strong understanding of operating-system internals, memory management, file systems, security, performance, datacenter layouts, servers, memory, BIOS, PCIe, networking, and storage.
- Experience with AWS, Kubernetes, and Docker; Grafana and Prometheus experience is a plus.
- Understanding of ML model training and inference and experience with ML hardware accelerators such as GPUs or custom accelerator ASICs are pluses.
Benefits
- Opportunity to build a breakthrough AI platform beyond GPU constraints.
- Opportunity to publish and open-source cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Job stability with startup vitality.
- Simple, non-corporate work culture that respects individual beliefs.
- Equal and diverse work environment with continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.