ZipRecruiter

Log In

1

Internship Vmware Virtualization Jobs (NOW HIRING)

GDR

Support Services Deskside Technician

Irvine, CA · On-site

$25 - $30/hr

... Familiarity with virtualization concepts (e.g., VMware, Hyper-V) is a plus. Requirements ... internship, part-time, or school experience acceptable). * Exposure to supporting users in a ...

GDR

Support Services Deskside Technician

La Jolla, CA · On-site

$25 - $30/hr

... Familiarity with virtualization concepts (e.g., VMware, Hyper-V) is a plus. Requirements ... internship, part-time, or school experience acceptable). * Exposure to supporting users in a ...

EchoStar

Senior Engineer - Storage

Cheyenne, WY · On-site

$96K - $137K/yr

... guidance to interns or junior engineers * Participate in 24x7 on-call responsibilities on a ... Preferred candidates will have deep technical experience with VMware vSphere Virtualization ...

New

EchoStar

Senior Engineer - Storage

Cheyenne, WY · On-site

$96K - $137K/yr

... guidance to interns or junior engineers * Participate in 24x7 on-call responsibilities on a ... Preferred candidates will have deep technical experience with VMware vSphere Virtualization ...

New

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Experience through internships, labs, personal projects, coursework, or certifications. * Understanding of virtualization technologies such as VMware. * Relevant certifications such as: * Microsoft ...

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · Hybrid

$56.25 - $75/hr

Experience through internships, labs, personal projects, coursework, or certifications. * Understanding of virtualization technologies such as VMware. * Relevant certifications such as: * Microsoft ...

previous page

Showing results 41-60

All Jobsinternship JobsTechnology JobsNetworking JobsWindows Administrator JobsInternship Vmware Virtualization Jobs

Internship Vmware Virtualization information

See salary details

$10

$59

$87

How much do internship vmware virtualization jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship vmware virtualization in the United States is $59.56, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What is an internship in VMware virtualization?

An Internship in VMware Virtualization is a temporary, hands-on training position where students or recent graduates gain practical experience working with VMware virtualization technologies. Interns typically help install, configure, and manage virtual machines, assist with troubleshooting, and learn how virtualization supports IT infrastructure. This role provides valuable exposure to industry-standard tools and prepares candidates for careers in IT, system administration, or cloud computing.

What are the key skills and qualifications needed to thrive in an internship in VMware virtualization?

To thrive as an intern in VMware Virtualization, you generally need a foundational understanding of computer networking, operating systems, and virtualization concepts, often supported by coursework in IT or computer science. Familiarity with VMware products such as vSphere, ESXi, and tools like VMware Workstation, as well as exposure to scripting languages or relevant certifications (e.g., VMware Certified Technical Associate), is beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt quickly in dynamic IT environments. These skills and qualities are crucial for supporting virtualization projects, troubleshooting technical issues, and gaining practical experience in enterprise IT infrastructure.

What are some common challenges faced during an internship focused on VMware virtualization, and how can interns effectively overcome them?

Interns specializing in VMware virtualization often encounter challenges such as navigating complex virtual environments, understanding enterprise-level networking concepts, and troubleshooting virtual machine issues. To overcome these, it's helpful to familiarize yourself with VMware documentation, actively participate in team meetings, and seek guidance from experienced colleagues. Interns should also make use of lab environments to practice configurations and problem-solving, which helps build confidence and proficiency in real-world scenarios.

What is the difference between Internship Vmware Virtualization vs Vmware Virtualization Engineer?

AspectInternship Vmware VirtualizationVmware Virtualization Engineer
Required CredentialsBasic IT knowledge, possibly some certifications like VCPAdvanced certifications like VCP, VCAP, and relevant experience
Work EnvironmentLearning-focused, entry-level tasks, supervised environmentProfessional setting, designing, implementing, and managing virtualization solutions
Employer & Industry UsageInternship programs in IT companies, data centers, or tech firmsData centers, enterprise IT departments, cloud service providers

Internship Vmware Virtualization is an entry-level position aimed at gaining foundational knowledge and skills, often involving supervised tasks. In contrast, Vmware Virtualization Engineer is a professional role requiring advanced certifications and experience, focusing on designing and managing virtualization infrastructure.

More about Internship Vmware Virtualization jobs

What cities are hiring for Internship Vmware Virtualization jobs?

Cities with the most Internship Vmware Virtualization job openings:

What are the most commonly searched types of Vmware Virtualization jobs?

The most popular types of Vmware Virtualization jobs are:

What states have the most Internship Vmware Virtualization jobs?

States with the most job openings for Internship Vmware Virtualization jobs include:

What job categories do people searching Internship Vmware Virtualization jobs look for?

The top searched job categories for Internship Vmware Virtualization jobs are:

Internship Vmware Virtualization jobs near you
Infographic showing various Internship Vmware Virtualization job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $123,889 per year, or $59.6 per hour.

Artificial Intelligence/Machine Learning SME

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in AI/ML Engineering to support the Test Resource Management Center's operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta, Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War.
In this role, you will work alongside other SME's, students, interns, engineers, AI and DE experts from academia and other industry teammates to translate operational and strategic requirements into educational opportunities as well as scalable, production-ready solutions. You will contribute directly to product planning, execution, intern mentoring and continuous improvement-helping ensure qualified individuals are delivered efficiently to the Department of War and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, mentorship program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, have strong interpersonal skills and the willingness to mentor interns, must be comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities and training individuals with real-world national security outcomes.
Responsibilities will include, but may not be limited to:
  • Serving as the primary Subject Matter Expert on AI/ML Engineering for the AIDETL Interns and staff, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the AIDETL's mission objectives
  • Providing expert-level training, workshops, and briefings to AIDETL Interns on AI/ML concepts and AI/ML best practices
  • Assisting in AIDETL curriculum development
  • Building and maintaining data pipelines for efficient data processing and model training
  • Training and tuning algorithms to improve predictive accuracy and decision-support tasks
  • Deploying models into production environments, ensuring reliability and performance
  • Identifying and integrating appropriate COTS, government, and custom tools within established frameworks
  • Collaborating with cross-functional teams to ensure alignment with enterprise architecture and security requirements
  • Staying updated on industry trends and advancements in AI/ML technologies
  • Developing and implementing best practices for model development and deployment
  • Ensuring compliance with cybersecurity policies and standards throughout the project lifecycle
  • Analyzing system performance metrics and recommend improvements for efficiency and scalability

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-HK1
Requirements
  • Secret clearance
  • Bachelor's degree in computer science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience.
  • 5 + years designing, building, and operating end-to-end AI/ML infrastructure (data ingestion, feature pipelines, model training, and serving) in production environments.
  • Expert-level proficiency with at least two of the following: TensorFlow, PyTorch, JAX, or Scikit-Learn, including design of deep-learning architectures (CNN, RNN, Transformer) and model-explainability methods (SHAP, LIME, Counterfactuals).
  • Proven ability to build end-to-end MLOps pipelines (CI/CD, automated testing, model versioning, monitoring) using Kubeflow, MLflow, TFX, or similar tools, and to deploy models in production and development environments.
  • Experience instrumenting pipelines with Prometheus, Grafana, CloudWatch/Stackdriver, Open Telemetry; implementing automated model-drift detection, data-quality checks, and compliance/audit trails.
  • Ability to translate complex business problems (e.g., computer vision, NLP, predictive maintenance, anomaly detection) into robust ML solutions and evaluate them against domain-specific KPIs (accuracy, latency, cost, safety).
  • Strong programming skills in languages such as Python, R, or Java.
  • Strong problem-solving abilities and analytical thinking.
  • Strong communication and interpersonal skills.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
  • Experience mentoring junior engineers, leading cross-functional AI projects, and clearly communicating technical concepts to both technical and non-technical audiences (executives, product owners, compliance teams).
  • Excellent documentation and presentation skills are required Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes).
  • Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving AIDETL curriculum needs and mission priorities.

Desired Skills
  • 12+ years of experience in AI/ML and/or data engineering or related fields.
  • Experience leading and managing Agile SCRUM teams. (Strong familiarity with Agile Scrum processes and methodologies)
  • Experience supporting AI/ML solutions across multi-enclave DoD environments.
  • Experience implementing automated model validation, bias detection, and drift monitoring frameworks.
  • Experience integrating AI services into enterprise APIs and microservices architectures.
  • Experience optimizing GPU-based training and inference pipelines.
  • Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives.
  • Publications, patents, or open-source contributions that demonstrate thought-leadership in emerging AI areas such as foundation models, reinforcement learning, federated learning, or privacy-preserving ML.
  • Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems.
  • Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI.
  • Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.
  • Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen.

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL
Travel Requirements
  • 10% travel primarily to Academic institutions, but also to cyber and physical ranges or industry events

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Apply