Senior Software Development Engineer in Test (SDET) - AI Cluster

Job summary

Responsibilities

In AI infrastructure organization, simplifying large hardware deployments with push button, single pane of glass for observability/monitoring and software capabilities for build-in resiliency are some of the key focus areas.

• You will be hired to innovate and execute tests on cutting edge AI infrastructure. Be a thinker, define optimized test strategies and methodologies.
• Cerebras is growing and innovating at a rapid pace and so is the ML community and AI models. Be a quick learner, adapt to new technologies, and bring your expertise.
• Deep understanding of how large-scale distributed ML training and inference works. Build a strong understanding of how to break these large distributed systems challenge into…
• Automate first approach - In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high…
• Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability.

What they're looking for

• Bachelor's or master's degree in engineering in computer science, electrical, AI, data science or related field.
• 5+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software.
• Strong coding skills in one of the programming languages like python, golang and C/C++.
• Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like pdb, gdb, strace and network monitors.
• Strong understanding of operating systems internals like memory management, file system working, security and performance.

Tech stack

• Kubernetes
• Python
• Go
• C++
• AWS