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

Cerebras
Bengaluru
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Quick learning","Test strategy thinking","Debugging","Adaptability"]

Build and execute test strategies for AI infrastructure, validating thousands of nodes to help achieve 99.999% reliability. Design optimized, automation-first test methodologies across high-availability, failure, performance, stress, and security scenarios. Test distributed ML training/inference and cluster components including Kubernetes, Prometheus, and Grafana, while also qualifying networking and security features across vendor platforms.

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FursaFursa
Cerebras
Cerebras
1 month ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build and execute test strategies for AI infrastructure, validating thousands of nodes to help achieve 99.999% reliability. Design optimized, automation-first test methodologies across high-availability, failure, performance, stress, and security scenarios. Test distributed ML training/inference and cluster components including Kubernetes, Prometheus, and Grafana, while also qualifying networking and security features across vendor platforms.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Innovate and execute tests for cutting-edge AI infrastructure, defining optimized test strategies and methodologies.
  • •Automate-first testing to achieve 100% automated coverage across high-availability, failure, performance, stress, and security scenarios.
  • •Validate large-scale distributed ML training and inference by breaking systems into components that can be unit tested.
  • •Test AI cluster components, including Kubernetes, Prometheus, and Grafana, plus hardware components such as wafer-scale accelerators and interconnects.
  • •Qualify cluster networking and security features, including high-speed switches/routers/optics and OS/network/cloud compliance security and access.

Key Requirements

  • •Bachelor's or master's degree in engineering in computer science, electrical, AI, data science, or a related field.
  • •10+ years of experience testing enterprise software, distributed systems, and/or datacenter hardware and software.
  • •Experience in large enterprise or cloud networking infrastructure (high-speed switches, routers, firewalls).
  • •Experience qualifying networking vendor platforms (Juniper, Arista, or Cisco) and network test equipment (Ixia/Spirent).
  • •Strong coding and debugging skills in Python, Golang, or C/C++, with tools like gdb and strace for large distributed systems, hardware, and software.
Experience:10+ yearsDistributed systemsDatacenterAI infrastructureCloud networkingML trainingML inference
Education:Bachelor's in computer science, electrical, AI, data science or related field
Skills:Quick learningTest strategy thinkingDebuggingAdaptability
Tech Stack:PythonGolangC/C++GdbStraceKubernetesPrometheusGrafanaAWSDockerJuniperAristaCiscoIxiaSpirentBGPECNPFCPCIe

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn