Senior Software Engineer: AI Cluster Validation & Performance

Cisco Systems, Inc.; Milpitas (CA); On-site; USD 168,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with Cisco matching

Paid parental leave

Job summary

Cisco Systems, Inc. is seeking a Senior Software Engineer to own CVIS/NVIS and AI cluster validation end-to-end, including GPU debugging, performance profiling, and release readiness across Cisco network-switch solutions.

You will develop validation plans, execute comprehensive test suites, model workloads, and drive defect triage to ensure acceptance criteria are met for scalable AI infrastructure.

Qualifications

• Bachelor's degree or higher with 4+ years of related experience for advanced roles.
• 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 skills.
• Translate system requirements into measurable tests, acceptance criteria, and release gates.
• Experience with technical writing and cross-functional communication.

Responsibilities

• Develop test plans, validation matrices, automation, 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, ToR, compute, storage, and software integrations.
• Drive defect triage, evidence collection, release qualification, RA certification, and acceptance-report packaging.

Skills

Test strategy

Automation

Python

Linux

Performance analysis

Defect triage

Cross-functional communication

Education

Bachelor's degree or higher

Tools

NVIDIA NCCL

Kubernetes

Slurm

Network testing

Storage validation

CI pipelines

Job description

Cisco Systems, Inc. is seeking a Senior Software Engineer to own CVIS/NVIS and AI cluster validation end-to-end, including GPU debugging, performance profiling, and release readiness across Cisco network-switch solutions.

You will develop validation plans, execute comprehensive test suites, model workloads, and drive defect triage to ensure acceptance criteria are met for scalable AI infrastructure.