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Entry Level Ai Infrastructure Engineer Jobs in Nevada

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 ...

TensorWave

Operations Engineer

Las Vegas, NV · On-site

$66K - $89K/yr

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

TensorWave

Operations Engineer

Las Vegas, NV · On-site

$66K - $89K/yr

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

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

Pwc

Data Engineer - Senior Associate

Las Vegas, NV

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Responsibilities - Designing and implementing data infrastructure and systems to facilitate ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$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 a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. Entry-level AI infrastructure engineers usually earn significantly less, with salaries often starting in the low six figures depending on experience and location.

Can you become an AI engineer with no experience?

Becoming an AI infrastructure engineer typically requires some background in programming, data structures, and machine learning concepts. While prior experience is helpful, entry-level roles often accept candidates who demonstrate strong technical skills, a willingness to learn, and relevant certifications or coursework in AI and cloud platforms. Building a portfolio through projects and gaining familiarity with tools like Python, TensorFlow, or cloud services can improve chances of entry without prior professional experience.

What engineer makes $500,000 a year?

While most entry-level AI infrastructure engineers do not earn that level of salary, senior AI or machine learning engineers with extensive experience, specialized skills, and advanced certifications can reach or exceed $500,000 annually, especially in high-demand industries or companies with competitive compensation packages. Such roles often require expertise in cloud platforms, large-scale data processing, and deep learning frameworks.

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.

How to become an AI infrastructure engineer?

To become an AI infrastructure engineer, you should have a strong foundation in computer science, including knowledge of cloud platforms, networking, and hardware systems. Gaining skills in programming languages like Python and understanding AI frameworks, along with certifications in cloud services such as AWS or Azure, can enhance your qualifications. Practical experience with deploying and managing AI models and infrastructure is also essential.
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 85% Full Time, and 15% Contract. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution.
GCP Infrastructure Automation Engineer - Remote

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Las Vegas, NV • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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