Cerebras

1 week ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 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

Website LinkedIn

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Cerebras

1 week ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

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

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn