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

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Cerebras Systems

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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. As senior software development engineer in Test, we are looking for a candidate who can make a big impact on how we test and validate thousands of nodes in large deployments to ensure the cluster is 99.999% reliable.

Job Responsibility:

  • Innovate and execute tests on cutting edge AI infrastructure
  • Define optimized test strategies and methodologies
  • Be a quick learner, adapt to new technologies
  • Build a strong understanding of how to break these large distributed systems challenge into smaller components that can be unit tested
  • Automate first approach - Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security
  • Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability
  • Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana. Cluster hardware components like ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect
  • Qualify cluster networking solutions which consists of high-speed switches, routers and optics from various vendors
  • Qualify cluster security features including OS security, network security, cloud compliance user access and security certifications

Requirements:

  • Bachelor's or master's degree in engineering in computer science, electrical, AI, data science of related field
  • 10+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software
  • Experience working in large enterprise or cloud networking infrastructure, high speed switches, routers, firewalls
  • Experience in qualifying networking vendor platforms like Juniper, Arista or Cisco and network test equipment like Ixia/Spirent
  • Experience in Datacenter technology like BGP, ECN, PFC
  • Experience testing networking security, compliance and firewalls
  • Strong coding skills in one of the programming languages like python, golang or C/C++
  • Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like gdb, strace, networking monitors
  • Strong understanding of operating systems internals like memory management, file system working, security basics and performance
  • Strong understanding of datacenter layout, device performance characteristics like PCIe, networking and storage
  • Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge plus
  • Understanding and experience of ML model training and inference is a huge plus
  • Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus

Nice to have:

  • Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge plus
  • Understanding and experience of ML model training and inference is a huge plus
  • Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus
What we offer:
  • Build a breakthrough AI platform beyond the constraints of the GPU
  • Publish and open source their cutting-edge AI research
  • Work on one of the fastest AI supercomputers in the world
  • Enjoy job stability with startup vitality
  • Our simple, non-corporate work culture that respects individual beliefs

Additional Information:

Job Posted:
February 17, 2026

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