Level 2 Technical Support Engineer - GPU/AI Infra

AI Chopping Block; Las Vegas, Northern (NV, KY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Stock Options

Medical Insurance (Employee)

Dental Insurance (Employee)

Vision Insurance (Employee)

HSA Contributions

Disability Insurance

Life Insurance

Pet & Legal Insurance

Supplementary Health Benefits

Flexible Spending Account

401(k)

Employee Assistance Program

Flexible PTO

Paid Holidays

Parental Leave

In-Office Perks

Job summary

TensorWave is building a Level 2 technical support team in the United States. We seek a hands‑on Technical Support Engineer to diagnose complex Linux, GPU, Kubernetes, and Slurm issues for AI workloads at scale.

You will work directly with customer engineers, write runbooks, and help shape the escalation paths and tooling. You will collaborate with the global operations center, create repeatable diagnostics, and contribute to the knowledge base.

Qualifications

• 3+ years in Linux systems administration, site reliability engineering, infrastructure operations, or a technical support engineering role with real diagnostic ownership.
• Strong Linux troubleshooting depth: system, networking, file systems, storage, process and resource investigation, log analysis, and kernel‑boundary familiarity.
• Working knowledge of Kubernetes, cluster/pod state, scheduling/placement, and diagnosing why workloads will not run.
• Experience with a batch scheduler in a shared compute environment, ideally Slurm, including job submission, queue behavior, and node state.
• Scripting ability in Python or Bash to automate diagnosis.
• Experience using structured incident tracking tools like JIRA or PagerDuty.
• Excellent written communication to explain technical findings clearly under time pressure.
• Willingness to participate in an on‑call rotation.

Responsibilities

• Own level 2 tickets escalated from the global operations center, driving them to resolution or to handoff to engineering.
• Diagnose issues across Linux hosts, GPU health, Kubernetes workloads, Slurm scheduling, Weka and Vast storage, and high‑speed networking.
• Investigate degraded and failed training/inference workloads using logs, metrics, and cluster telemetry, and explain what happened and why.
• Triage GPU and node hardware faults, including nodes with fewer than 8 GPUs, RMAs, and thermal/power events, coordinating with data center ops.
• Collaborate with customer engineering teams during investigations, matching their technical level and keeping them informed.
• Write and maintain runbooks for Level 1 resolution and identify gaps needing new runbooks.
• Build diagnostic scripts and small tools to shorten investigations and reduce repeat work.
• Contribute to customer knowledge base and documentation to reduce recurring questions.
• Partner with technical account managers on account health and technical trends.
• Join an on‑call rotation to support the global operations center after hours and push toward 24‑7 coverage.
• Provide engineering/product feedback with evidence from patterns, not anecdotes.

Skills

Linux troubleshooting

Kubernetes

Slurm scheduling

Scripting Python/Bash

Incident tracking

On-call readiness

Technical communication

Tools

JIRA

PagerDuty

Job description

TensorWave is building a Level 2 technical support team in the United States. We seek a hands‑on Technical Support Engineer to diagnose complex Linux, GPU, Kubernetes, and Slurm issues for AI workloads at scale.

You will work directly with customer engineers, write runbooks, and help shape the escalation paths and tooling. You will collaborate with the global operations center, create repeatable diagnostics, and contribute to the knowledge base.