18 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Develop test plans, validation matrices, automation, acceptance criteria, and exit criteria for AI cluster solutions.
- Execute CVIS/NVIS, AI Cluster Validation, GPU burn, NCCL, workload, resilience, and interoperability test suites.
- Model workloads, profile end-to-end performance, analyze bottlenecks, and produce benchmark reports.
- Validate Cisco network-switch, multi-plane, top-of-rack, compute, storage, and software integrations.
- Drive defect triage, evidence collection, release qualification, reference architecture certification, and acceptance-report packaging.
Requirements
- Bachelor’s degree and 8 years of related experience, or master’s degree and 6 years of related or equivalent related work experience.
- Experience building and executing end-to-end validation for GPU or distributed AI systems.
- Experience with test strategy, automation, Python, Linux, performance analysis, and defect triage.
- Ability to translate system requirements into measurable tests, acceptance criteria, and release gates.
- Experience with technical writing and cross-functional communication.
- Preferred qualifications include CVIS/NVIS, NVIDIA GPU platforms, NCCL, Kubernetes, Slurm, network testing, storage validation, benchmark engineering, workload modeling, CI-based testing, observability, release management, Cisco networking, and AI cluster reference architectures.
Tech Stack
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.