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Kyndryl

Managed IT infrastructure and cloud services

AI Validation & Automation Engineer

Performance TestingPosted on Nov 13
Full-timeFrisco, TX, USA

About the Job

Requirements

  • At least 5 years of experience in infrastructure validation, automation, performance engineering, commissioning, or quality engineering.
  • Strong Linux scripting and automation skills using Python, Ansible, APIs, Git, and CI/CD.
  • Experience defining acceptance criteria, analyzing diagnostics, and managing defects to closure.

Responsibilities

  • Create a requirements-to-test traceability matrix and staged entry/exit gates for site readiness, physical installation, power-on, fabric, storage, platform, burn-in, performance, resiliency, and handover.
  • Develop version-controlled provisioning, health-check, diagnostic, stress, regression, and evidence-collection automation.
  • Validate GPU or accelerator health, PCIe, GPU interconnects such as NVLink/NVSwitch, NIC/HCA/DPU, InfiniBand or Ethernet/RoCE fabrics, storage throughput, Kubernetes, operators, scheduling, and telemetry.
  • Execute failure and recovery tests, including node loss, link degradation, service restart, workload rescheduling, rebuild, replacement, and return to service.
  • Establish workload-relevant baselines for collective communications, network, storage, inference, training, and platform operations without assuming ownership of every customer model benchmark.
  • Triage failures, isolate defects, coordinate corrective actions, retest, and maintain auditable defect and acceptance records.
  • Produce formal acceptance packages containing configuration baselines, test results, exceptions, waivers, evidence, sign-offs, and residual risks.
  • Use deployment findings and production incidents to extend automated coverage and prevent recurrence.
  • Travel nationwide to customer data centers as required; travel percentage is to be confirmed.

Desired Qualifications

  • Experience with NVIDIA DCGM diagnostics and telemetry, CVT, MLXlink, fabric validation, GPU burn-in, or NCCL tests.
  • Experience validating DGX/HGX, InfiniBand, Spectrum-X, BlueField, Kubernetes operators, NVAIE, or Run:ai.
  • Experience producing customer acceptance packages for NVIDIA DGX/HGX or NVIDIA-Certified AI infrastructure.
  • NVIDIA or HPC benchmarking credentials and test-engineering credentials such as ISTQB or equivalent.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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