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Virtual Machine Jobs in Nevada (NOW HIRING)

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ... Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ... Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and ...

Eaton

Site Infrastructure Specialist

Reno, NV · On-site

$84K - $123K/yr

Provide hands-on support in server rooms, ensuring safety protocols, monitoring environments, and installing/troubleshooting servers, Virtual Machines (VMs), and UPS systems. • Physical Security:

Tutorperini

Systems Administrator

Henderson, NV · Hybrid

$85K - $110K/yr

Manage and operate VMware vSphere infrastructure, including ESXi hosts, virtual machines, resource pools, templates, and cluster health. * Support and maintain HCI platforms, ensuring stable compute ...

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Showing results 21-40

All JobsMachine JobsVirtual Machine JobsVirtual Machine Jobs in Nevada

Virtual Machine information

See Nevada salary details

$21.7K

$97.6K

$172.9K

How much do virtual machine jobs pay per year?

As of Jul 24, 2026, the average yearly pay for virtual machine in Nevada is $97,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,292.00 and $130,577.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Machine Engineer, and why are they important?

To thrive as a Virtual Machine Engineer, you need expertise in virtualization technologies, operating systems, and system architecture, usually supported by a degree in computer science or a related field. Familiarity with platforms such as VMware, Hyper-V, KVM, and tools like vSphere or VirtualBox, along with relevant certifications like VCP or RHCE, is highly valuable. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing complex environments and collaborating with IT teams. These skills ensure reliable deployment, maintenance, and optimization of virtual infrastructures, which are critical for modern business operations.

How to make $1000 a week remote?

A virtual machine specialist can earn $1000 a week remotely by offering freelance services such as cloud infrastructure management, virtualization setup, or technical support. Building skills in virtualization platforms like VMware or Hyper-V, obtaining relevant certifications, and gaining experience can help increase earning potential through contract or consulting work. Consistent remote work opportunities often require strong technical knowledge and reliable internet access.

What are some common challenges faced by Virtual Machine administrators, and how can they be addressed?

Virtual Machine administrators often encounter challenges such as resource allocation conflicts, performance bottlenecks, and ensuring security across multiple virtual environments. Addressing these issues typically involves careful monitoring of resource usage, implementing automation for scaling, and staying up-to-date with security patches. Collaboration with network and storage teams is also essential to maintain optimal performance and prevent downtime.

What are VMs jobs?

Jobs related to virtual machines (VMs) typically involve managing, configuring, and maintaining virtualized environments using tools like VMware, Hyper-V, or VirtualBox. Roles may include system administrators, cloud engineers, or IT support specialists who ensure VM performance, security, and integration within larger IT infrastructure. Skills in scripting, networking, and virtualization platforms are often required.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as senior software engineers, IT consultants, and certain freelance or contract professionals in technology, finance, or healthcare. These positions often require advanced skills, certifications, or extensive experience, and may involve project-based or consulting work with flexible schedules.

What is the difference between Virtual Machine vs Cloud Engineer?

AspectVirtual MachineCloud Engineer
Required CredentialsIT certifications, virtualization knowledgeCloud platform certifications (AWS, Azure), programming skills
Work EnvironmentData centers, local servers, virtualization platformsCloud platforms, remote environments, development tools
Employer & Industry UsageIT departments, data centers, hosting providersTech companies, startups, enterprises adopting cloud solutions
Common Search & Comparison IntentUnderstanding virtualization technologyCloud infrastructure and deployment strategies

While Virtual Machines focus on creating virtualized hardware environments within physical servers, Cloud Engineers design, implement, and manage cloud-based infrastructure and services. Both roles require technical expertise, but Virtual Machines are a component used within cloud environments managed by Cloud Engineers. Understanding both helps organizations optimize their IT infrastructure effectively.

What are virtual machines?

A virtual machine (VM) is a software-based simulation of a physical computer that runs an operating system and applications just like a real computer. VMs allow you to run multiple operating systems on a single physical machine, isolating each environment for security and flexibility. They are commonly used for software development, testing, server consolidation, and running legacy applications. Virtual machines are managed by a hypervisor, which allocates resources and ensures separation between VMs.

What is a Virtual Machine job?

A Virtual Machine (VM) job refers to tasks that involve managing, configuring, and maintaining virtualized computing environments. These jobs often include setting up VM instances, optimizing performance, ensuring security, and troubleshooting issues. Professionals in this role work with virtualization platforms like VMware, Hyper-V, or cloud-based services like AWS, Azure, and Google Cloud. VM jobs are essential in IT infrastructure, allowing businesses to run multiple operating systems and applications on a single physical server efficiently.

How can I make $2000 a week working from home?

A virtual machine specialist can increase earnings by offering remote IT support, managing cloud-based virtual environments, or providing virtualization consulting. Building skills in virtualization platforms like VMware or Hyper-V, obtaining relevant certifications, and establishing a client base can help achieve higher weekly income from home.
What are popular job titles related to Virtual Machine jobs in Nevada? For Virtual Machine jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Virtual Machine jobs in Nevada look for? The top searched job categories for Virtual Machine jobs in Nevada are:
What cities in Nevada are hiring for Virtual Machine jobs? Cities in Nevada with the most Virtual Machine job openings:
Virtual Machine jobs near you
Infographic showing various Virtual Machine job openings in Nevada as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $97,612 per year, or $46.9 per hour.

Senior Machine Learning Engineer

TensorWave

Las Vegas, NV • On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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
We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave's GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
  • Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads
  • Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments
  • Troubleshoot performance, reliability, and scalability issues across the ML stack
  • Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

Who You Are
Required Qualifications
  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • Expertise supporting production ML systems using SLURM and Kubernetes
  • Strong understanding of GPU-accelerated workloads and distributed systems concepts
  • Solid Linux fundamentals and experience debugging infrastructure-level issues
  • Ability to build automation and tooling - Python, Go, etc.

Preferred Qualifications
  • Experience working across schedulers, orchestration platforms, or cluster managers
  • Familiarity with large-scale GPU environments or HPC-style systems
  • Experience improving infrastructure reliability, utilization, or performance at scale

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 the 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.

Apply