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Virtual Machine Jobs in Boston, MA (NOW HIRING)

Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...

... virtual machines, storage, networking, and platform services. • Support implementation and maintenance of security controls, patches, and compliance requirements within IL6 environments. • ...

Provision, configure, monitor, and troubleshoot cloud infrastructure resources, virtual machines, storage, networking, and platform services. > * Support implementation and maintenance of security ...

Provision, configure, monitor, and troubleshoot cloud infrastructure resources, virtual machines, storage, networking, and platform services. * Support implementation and maintenance of security ...

... in Virtual Machine design and deployment • Excellent communication skills (written, verbal, and presentation) and ability to effectively communicate with IPT leaders, hardware and software ...

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Virtual Machine information

See Boston, MA salary details

$21.9K

$98.8K

$175K

How much do virtual machine jobs pay per year?

As of Jun 10, 2026, the average yearly pay for virtual machine in Boston, MA is $98,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,820.00 and $132,207.00 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 tools like VMware or Hyper-V, obtaining relevant certifications, and gaining experience can help increase earning potential through contract work or consulting opportunities.

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 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.

What are popular job titles related to Virtual Machine jobs in Boston, MA? For Virtual Machine jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Virtual Machine jobs in Boston, MA look for? The top searched job categories for Virtual Machine jobs in Boston, MA are:
Machine Learning

Machine Learning

Neurable, INC

Cambridge, MA • On-site

Full-time

Posted 29 days ago


Job description

Company Description

Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.

Job Description

We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)

Qualifications

- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States

Additional Information

All your information will be kept confidential according to EEO guidelines.