Senior Software Development Engineer in Test (SDET) - AI Cluster Networking and Security
Cerebras · Bengaluru, IND
CHECKED 7H AGO
Infrastructureremotesenior
At a glance
Highlights
- Test cutting-edge AI infrastructure behind the world's largest AI chip.
- Ensure thousand-node AI clusters deliver 99.999% reliability at scale.
- Drive full automation for high-availability, performance and security testing.
Ideal candidate
A curious, automation-first test innovator with deep distributed systems instincts who thrives breaking down massive AI clusters and championing reliability and security at scale.
Requirements
- Bachelor's or master's in computer science, electrical, AI, data science or related engineering field
- 10+ years testing enterprise software, distributed systems, or datacenter hardware and software
- Experience with large enterprise or cloud networking infrastructure, switches, routers, firewalls
- Experience qualifying Juniper, Arista or Cisco platforms and Ixia/Spirent test equipment
- Experience with datacenter technologies like BGP, ECN, PFC
- Experience testing network security, compliance and firewalls
- Strong coding skills in Python, Golang or C/C++
- Strong debugging skills for large distributed hardware and software systems
- Strong understanding of OS internals, memory management, filesystems and performance
- Strong understanding of datacenter layout, PCIe, networking and storage performance
- Experience with AWS, Kubernetes and Docker; Grafana and Prometheus a plus
- Familiarity with ML model training/inference and GPU or accelerator hardware a plus
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