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

Cerebras· Software Engineering
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Hybrid (Bengaluru, IND)Full-timePosted 3mo ago

About the role

Senior SDET focused on testing and validating large-scale AI cluster infrastructure, with emphasis on networking and security to achieve near-100% uptime in complex distributed systems.

Responsibilities

  • Innovation and execution of tests on cutting edge AI infrastructure; define optimized test strategies and methodologies.
  • Adapt to rapid pace of Cerebras and AI model developments; bring diverse expertise to the team.
  • Develop deep understanding of large-scale distributed ML training and inference; decompose large systems into testable components.
  • Adopt an automation-first approach to achieve high test coverage for cluster features, including high availability, failure scenarios, performance, stress, and security.
  • Champion cluster security and reliability for uptime of 99.9999%; improve observability and ease of use.
  • Test all components of AI cluster including cluster software (Kubernetes, Prometheus, Grafana) and cluster hardware components (ML wafer-scale accelerators, CPU runtime nodes, high-speed interconnects, data transfer interconnects).
  • Qualify cluster networking solutions (high-speed switches, routers, optics) from various vendors.
  • Qualify cluster security features including OS security, network security, cloud compliance, user access, and security certifications.

Qualifications

  • Bachelor's or master's degree in engineering in computer science, electrical, AI, data science or related field
  • 10+ years of experience in testing one of: enterprise software, distributed systems, datacenter hardware and software
  • Experience in large enterprise or cloud networking infrastructure, high-speed switches, routers, firewalls
  • Experience qualifying networking vendor platforms (Juniper, Arista, Cisco) and network test equipment (Ixia/Spirent)
  • Experience in Datacenter technologies (BGP, ECN, PFC)
  • Experience testing networking security, compliance and firewalls
  • Strong coding skills in Python, Go, or C/C++
  • Strong debugging skills with tools like gdb, strace, networking monitors
  • Strong understanding of OS internals, memory management, file systems, security basics, and performance
  • Strong understanding of datacenter layout, PCIe, networking and storage characteristics
  • Experience with cloud technologies (AWS, Kubernetes, Docker); monitoring tools like Grafana/Prometheus advantageous
  • Understanding/experience of ML model training and inference is a plus
  • Understanding of ML hardware accelerators (GPU, custom ASIC) is a plus

Skills

Required:Test strategy and methodologyAutomationDistributed systems testingProgrammingDebuggingOS internalsDatacenter & networking
Nice to have:Cloud technologies

Benefits

  • Not specified in the description
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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