Senior Software Development Engineer in Test (SDET) - AI Cluster
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
InfrastructureremoteSenior
At a glance
Highlights
- Help validate thousands of nodes to keep large AI clusters 99.999% reliable.
- Work on the world's largest AI chip, delivering 10x faster inference speeds.
- Simplify large hardware deployments with push-button observability and resiliency.
Ideal candidate
A curious systems thinker with 5+ years testing distributed systems who loves breaking complex infrastructure into testable pieces and championing automation, reliability, and security at massive scale.
Requirements
- Bachelor's or master's in computer science, electrical, AI, data science or related engineering
- 5+ years testing enterprise software, distributed systems, or datacenter hardware and software
- Strong coding skills in Python, Golang or C/C++
- Strong debugging skills for large distributed hardware and software systems
- Experience with pdb, gdb, strace and network monitors
- Strong understanding of OS internals including memory, filesystems, security and performance
- Strong understanding of datacenter layout and server, memory, BIOS, PCIe, networking and storage
- Experience with AWS, Kubernetes and Docker
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