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Virtual Systems Engineer Jobs in Phoenix, AZ (NOW HIRING)

Aligneddc

Lead Engineer, Cooling Lab & Modeling

Phoenix, AZ · On-site

$101K - $134K/yr

The Lead Systems Engineer serves as the technical anchor and operational manager for Aligned ... Digital Twin & System Modeling (HFSS): Lead the development, tuning, and execution of virtual ...

Wells Fargo

Senior Systems Operations Engineer

Chandler, AZ · Hybrid

$102K - $140K/yr

Wells Fargo is seeking a Senior Systems Operations Engineer, responsible for supporting and maintaining the enterprise virtual hosting platform and related infrastructure services to ensure high ...

MUFG Bank, Ltd.

Cloud Engineer, Vice President

Tempe, AZ · Hybrid

$53.50 - $71.25/hr

Deploying virtual systems and network resources according to specifications based on established ... with engineering teams, product management, business units, and customers to define and deliver ...

M9 Solutions

Network System Engineer

Scottsdale, AZ · On-site

$90K - $102K/yr

One (1) year of experience as a computer systems manager/operator on Microsoft or LINUX-based ... Familiarity with VMware vSphere and virtual machines. * Familiarity with Red Hat Enterprise Linux ...

M9 Solutions

Network System Engineer

Scottsdale, AZ · On-site

$90K - $102K/yr

One (1) year of experience as a computer systems manager/operator on Microsoft or LINUX-based ... Familiarity with VMware vSphere and virtual machines. * Familiarity with Red Hat Enterprise Linux ...

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Showing results 21-40

All JobsSystems Engineer JobsVirtual Systems Engineer JobsVirtual Systems Engineer Jobs in Phoenix, AZ

Virtual Systems Engineer information

See Phoenix, AZ salary details

$53.1K

$126.3K

$165.8K

How much do virtual systems engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for virtual systems engineer in Phoenix, AZ is $126,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a virtual systems engineer?

Virtual Systems Engineers are IT professionals who design, implement, and manage virtualized computing environments. They work with technologies such as VMware, Hyper-V, or cloud platforms to create and maintain virtual servers, storage, and networks. Their role involves optimizing system performance, ensuring security, and supporting business operations by enabling flexible and scalable IT infrastructure. Virtual Systems Engineers are essential for organizations adopting virtualization to reduce hardware costs and improve resource utilization.

What are the key skills and qualifications needed to thrive as a virtual systems engineer?

To thrive as a Virtual Systems Engineer, you need a solid understanding of virtualization technologies, network infrastructure, and systems administration, usually supported by a degree in computer science or a related field. Expertise with platforms like VMware, Hyper-V, and cloud services (e.g., AWS, Azure), along with certifications such as VCP or Microsoft Certified: Azure Administrator, is highly valued. Strong problem-solving abilities, effective communication, and adaptability are important soft skills for managing complex virtual environments and collaborating with distributed teams. These skills and qualities are essential for ensuring reliable system performance, efficient troubleshooting, and successful implementation of virtualized solutions.

How does a virtual systems engineer typically collaborate with remote teams, and what tools are commonly used for effective communication and troubleshooting?

As a Virtual Systems Engineer, collaboration with remote teams is a key part of the job, often involving regular coordination with IT staff, developers, and end-users across different locations. You will commonly use tools such as remote desktop software, cloud management platforms, and video conferencing applications to communicate and resolve issues efficiently. Ticketing systems and shared documentation platforms are also vital for tracking progress and maintaining clear communication. Adaptability and strong written communication skills are essential for success in this remote-centric environment.

What is the difference between Virtual Systems Engineer vs Network Engineer?

AspectVirtual Systems EngineerNetwork Engineer
CertificationsVMware, Cisco, CompTIACisco CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, cloud platforms, virtualized environmentsNetwork infrastructure, routing, switching
Industry UsageIT, cloud services, virtualization providersTelecommunications, enterprise IT

The Virtual Systems Engineer focuses on designing, implementing, and managing virtualized and cloud-based systems, while the Network Engineer specializes in configuring and maintaining network infrastructure. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Systems Engineer jobs in Phoenix, AZ?

The most popular types of Systems Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Virtual Systems Engineer jobs in Phoenix, AZ?

For Virtual Systems Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Virtual Systems Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Virtual Systems Engineer jobs in Phoenix, AZ are:

Virtual Systems Engineer jobs near you
Infographic showing various Virtual Systems Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $126,313 per year, or $60.7 per hour.

Systems Engineer I - Software, Robotics & Semiconductor Automation

ASM

Phoenix, AZ • On-site

$171K - $203K/yr

Full-time

Posted 22 days ago

Job description

Job's mission

We are seeking a motivated Systems Engineer I to support software-driven automation tools for semiconductor equipment and field-service workflows. This role is ideal for an early-career engineer with strong software fundamentals who is comfortable working close to hardware, robotics, cameras, HMIs, measurement tools, databases, and production/service environments. 

 The engineer will help develop and maintain local applications, diagnostic tools, HMI workflows, data pipelines, automation tools, and supporting software used by engineering, manufacturing, field service, and cleanroom/cleanhouse partners. The ideal candidate has hands-on experience with Python and/or C/C++, user interface development, basic networking, data handling, and troubleshooting systems in lab or deployed environments. 

This role requires curiosity, attention to detail, clear communication, and the ability to take ownership of assigned technical tasks while learning in a cross-functional engineering environment. 

What you will be working on

  • Develop and maintain software applications, diagnostic tools, and HMI interfaces for semiconductor equipment, lab fixtures, robotic tools, and field-service workflows. 
  • Build operator-facing workflows that are reliable, readable, and easy to use on PCs, HMIs, tablets, or other equipment-connected interfaces. 
  • Develop frontend/UI and backend logic using Python GUI frameworks, web UI tools, JavaScript/TypeScript, HTML/CSS, APIs/local services, configuration files, logging, and error handling. 
  • Integrate software with robots, cameras, sensors, measurement devices, motion systems, and industrial equipment. 
  • Support basic equipment networking, including setting device IP addresses, understanding subnets, and connecting PCs/HMIs to robots, cameras, and controllers. 
  • Build responsive application workflows using threading, synchronization, asynchronous execution, or queue-based updates so long-running robot, camera, measurement, or communication tasks do not freeze the HMI/operator interface. 
  • Support databases and data pipelines for measurement results, equipment records, part data, reports, analytics, model inputs/outputs, and traceability. 
  • Support data-driven and AI/ML workflows where applicable, including feature extraction, model integration, similarity scoring, quality/health checks, prediction outputs, and engineering analytics. 
  • Create and maintain scripts, tools, installers, documentation, validation notes, and test procedures needed to support applications in lab, production, or customer-adjacent environments. 

What we are looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, Mechatronics, Systems Engineering, or a related technical field. 
  • Proficiency in Python for application development, automation, scripting, debugging, data handling, or equipment integration. 
  • Experience with C/C++ or other lower-level programming languages is helpful for debugging, device integration, or performance-critical workflows. 
  • Experience developing user interfaces, dashboards, diagnostic tools, HMIs, or local software applications. 
  • Familiarity with JavaScript/TypeScript, HTML, CSS, Python UI frameworks, or similar frontend/HMI technologies. 
  • Familiarity with backend application logic, APIs/local services, configuration files, logging, error handling, and software testing. 
  • Familiarity with databases or structured data using SQL, SQLite, JSON, Excel/CSV, NoSQL, or similar tools. 
  • Basic understanding of networking concepts such as IP addresses, subnets, ports, and local equipment connectivity. 
  • Exposure to robotics, cameras, sensors, motion systems, measurement devices, machine vision, or industrial equipment is preferred. 
  • Exposure to AI/ML or data science tools such as scikit-learn, PyTorch, TensorFlow, NumPy, pandas, or similar frameworks is preferred. 
  • Experience with threading, synchronization, asynchronous programming, event loops, or queue-based UI updates is preferred. 
  • Experience with software packaging and deployment tools such as PyInstaller, NSIS, virtual environments, PowerShell, Git, GitLab, CI/CD pipelines, or Microsoft Azure is a plus. 
  • Strong analytical and problem-solving skills, especially when debugging systems that combine software, hardware, data, and operator workflows. 
  • Ability to communicate technical information clearly and work effectively in a cross-functional engineering environment. 

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