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Entry Level Ai Infrastructure Engineer Jobs in Nevada

Amperesand

Software Engineer-DevOps

Reno, NV · On-site

$140K - $160K/yr

... infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric ... Role Summary As a Software Engineer-DevOps, you'll work directly with our infrastructure team to ...

Introl

Data Center Technician

Las Vegas, NV · On-site

$30 - $36/hr

... AI workloads. About Introl Introl stands apart as a leader in GPU infrastructure deployments ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Introl

Data Center Technician

Reno, NV · On-site

$30 - $36/hr

... AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers ... Key Responsibilities GPU Infrastructure & Hardware Management Deploy, configure, and maintain large ...

Ormat

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... infrastructure, monitoring, governance, and support models. Other Responsibilities Perform other ...

Ormat

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... infrastructure, monitoring, governance, and support models. Other Responsibilities Perform other ...

Ormat Technologies, Inc.

AI Builder

Reno, NV · On-site

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... infrastructure, monitoring, governance, and support models. Perform other duties as assigned.

GCW, Inc.

Engineer in Training II

Las Vegas, NV · On-site

Description: As an Engineer in Training II at GCW, you will perform entry-level professional ... Improvement plans for major utility infrastructure * Sewer and Water Main infrastructure design

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth.

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Entry Level Ai Infrastructure Engineer information

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Nevada? The most popular types of Ai Infrastructure Engineer jobs in Nevada are:
What are popular job titles related to Entry Level Ai Infrastructure Engineer jobs in Nevada? For Entry Level Ai Infrastructure Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Infrastructure Engineer jobs in Nevada look for? The top searched job categories for Entry Level Ai Infrastructure Engineer jobs in Nevada are:
Entry Level Ai Infrastructure Engineer jobs near you
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in Nevada as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Infrastructure Engineer - DevOps, Kubernetes & Automation

TensorWave

Las Vegas, NV • On-site

$50.50 - $69/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
The Infrastructure Engineer - DevOps, Kubernetes & Automation will support the infrastructure team by helping deploy, maintain, troubleshoot, and improve internal infrastructure automation and Kubernetes platform operations.
This role will work across Ansible, Kubernetes, Linux systems, Git-based workflows, CI/CD tooling, and internal platform services. The engineer will help convert manual operational work into repeatable automation, assist with production deployments, validate infrastructure changes, and contribute to the operational health of the environment.
This is a hands-on technical role. The ideal candidate has strong Linux fundamentals, practical automation experience, and a desire to grow into deeper Kubernetes, DevOps, and infrastructure engineering responsibilities.
What You'll Do
Kubernetes Operations
  • Assist with the deployment, maintenance, and troubleshooting of Kubernetes clusters.
  • Support cluster lifecycle activities including node maintenance, configuration updates, upgrades, and validation.
  • Help investigate Kubernetes issues related to pods, services, networking, storage, ingress, certificates, and node health.
  • Work with senior engineers to improve Kubernetes deployment patterns, operational runbooks, and standard configurations.
  • Support platform services that run on Kubernetes where owned by the infrastructure team.
Ansible & Infrastructure Automation
  • Write, update, and maintain Ansible roles and playbooks.
  • Help standardize infrastructure automation across sites, clusters, and environments.
  • Execute controlled Ansible deployments using approved rollout patterns.
  • Validate idempotency, error handling, and safe rollback behavior where applicable.
  • Assist with inventory organization, group variables, host variables, and reusable role design.
  • Convert manual operational steps into repeatable automation.
DevOps & CI/CD Support
  • Support Git-based workflows for infrastructure code.
  • Assist with CI/CD pipeline improvements for infrastructure automation and deployment processes.
  • Help maintain deployment scripts, validation tooling, and operational utilities.
  • Contribute to automated testing and validation of infrastructure changes.
  • Support internal platform tooling used by the DevOps and infrastructure teams.
Linux Systems Operations
  • Troubleshoot Linux system issues related to services, networking, packages, storage, users, SSH, logs, and systemd.
  • Support Ubuntu-based infrastructure systems and GPU node operating environments.
  • Assist with baseline configuration, package management, service validation, and host-level remediation.
  • Help improve operational runbooks for common Linux and infrastructure support tasks.
Documentation & Operational Process
  • Document deployment procedures, troubleshooting steps, and operational standards.
  • Contribute to onboarding material for new engineers.
  • Maintain clear change notes and implementation records for infrastructure work.
  • Help improve consistency across runbooks, READMEs, and internal engineering documentation.

Who You Are
Required Qualifications
  • Linux system administration experience.
  • Basic to intermediate Kubernetes experience.
  • Practical Ansible experience.
  • Git workflow familiarity.
  • Understanding of CI/CD concepts.
  • Basic networking knowledge including DNS, routing, firewalls, subnets, and load balancing concepts.
  • Experience troubleshooting services using logs, systemd, command-line tools, and metrics.
  • Ability to read and modify YAML, shell scripts, and infrastructure configuration files.

Preferred Qualifications
  • Experience with Ubuntu server environments.
  • Experience with RKE2, Rancher, Cilium, or similar Kubernetes platforms.
  • Experience with Prometheus, Grafana, Loki, or other observability tools.
  • Experience with MAAS, PXE, bare metal provisioning, or data center infrastructure.
  • Experience supporting GPU, AI, HPC, or large-scale compute environments.
  • Familiarity with Python or Go for operational tooling.
  • Experience working in production infrastructure environments with change control or staged rollout practices.

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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