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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in driving end-to-end solution testing for AI clusters, including performance profiling, GPU debugging, and automation frameworks. Proficient in defining acceptance criteria and validating integrations across complex systems with a focus on Cisco technologies.
Highest-signal resume keywords
End-To-End Validation For GPU SystemsTest Strategy And AutomationPerformance AnalysisDefect Triage SkillsTechnical Writing
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Performance ProfilingBottleneck AnalysisAcceptance Criteria DefinitionAutomation FrameworksGPU DebuggingNetwork Behavior AnalysisRelease QualificationAI Cluster SolutionsValidation MatricesWorkload Modeling
Soft Skills
Cross-Functional Communication
Tools & Technologies
PythonLinuxNVIDIA GPU PlatformsNCCLKubernetesSlurmCisco Networking
Industry Keywords
Cisco Validated Infrastructure ServicesAI Cluster ValidationBenchmark EngineeringCI-Based TestingObservabilityRelease Management
Tech Stack
Tools & technologiesKubernetesLinuxPython
About the role
Key responsibilities & impact- Drive Cisco Validated Infrastructure Services (CVIS) and end-to-end solution testing
- Perform RA certification, GPU debugging, network behavior analysis, performance profiling, and bottleneck analysis
- Define acceptance criteria, test planning and automation, and release qualification and readiness for AI clusters
- Design comprehensive test strategies, validation matrices, automation frameworks, and exit criteria for AI cluster solutions
- Run CVIS/NVIS, AI Cluster Validation, GPU burn-in, NCCL, workload, resilience, and interoperability test suites
- Run RDMA, NCCL, and AI test suites; profile end-to-end performance; pinpoint bottlenecks; and deliver benchmark reports
- Validate integrations across AI cluster deployments with Cisco switches, multi-plane fabrics, ToR, compute, storage, and software components
- Lead defect triage and evidence collection through release qualification and RA certification
- Package final acceptance reports
- Establish and prove performance of large AI clusters before customer handover
Requirements
What you’ll need- Bachelors +5 years of related experience, or Masters +3 years of related experience, or PHD +0 year of related experience, 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 skills
- Prior experience translating system requirements into measurable tests, acceptance criteria, and release gates
- Preferred: NVIS, NVIDIA GPU platforms, NCCL, Kubernetes, Slurm, network testing, and storage validation
- Preferred: Benchmark engineering, workload modeling, CI-based testing, observability, and release management
- Preferred: Experience with Cisco networking and AI cluster reference architectures
- Preferred: Experience with technical writing and cross-functional communication
Benefits
Comp & perks- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Cisco restricted stock units may be available
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- Paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation per full calendar year for non-exempt employees
- Flexible vacation time off program for exempt employees
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- Up to 80 hours of unused sick time carried forward
- Additional paid time away for critical or emergency family issues
- Optional 10 paid volunteer days per full calendar year
- Annual bonuses for non-sales roles, subject to Cisco’s policies
