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Internship Computer System Validation Csv Jobs in Arizona

... system validation & verification testing and certification activities. · Support System Safety ... or Computer Science. · Minimum of 5+ years of Systems Engineering experience in Avionics for ...

Review and create job procedures for system testing, installation, and maintenance. Lead On-Machine ... Strong computer skills and ability to manage multiple software applications. * Background in ...

Bachelor's degree in computer science or equivalent. Experience with manual testing preferred * 4-7 ... debugging complex systems, including web services, API * Experience debugging LAMP stack ...

Submarine Electronics/Computer Techs * Avionics Systems & more! You'll make an immediate impact by ... Must be 18 years of age and possess a valid driver's license with limited violations Preferred ...

Showing results 41-60

Internship Computer System Validation Csv information

What is an internship in computer system validation (CSV)?

An Internship in Computer System Validation (CSV) is a temporary position, typically for students or recent graduates, that provides hands-on experience in ensuring that computer systems used in regulated industries (like pharmaceuticals or healthcare) meet required standards and regulations. Interns assist with validating software and hardware, documenting processes, and ensuring compliance with industry guidelines such as FDA 21 CFR Part 11 or EU Annex 11. This role helps interns understand the lifecycle of computer systems in a regulated environment and prepares them for careers in quality assurance, compliance, or IT within highly regulated sectors.

What are the typical responsibilities of an intern in computer system validation (CSV)?

As a Computer System Validation (CSV) intern, you can expect to assist with tasks such as reviewing and drafting validation documentation, executing test scripts, and collecting evidence to ensure compliance with regulatory requirements. You may also support the maintenance of validation records and participate in team meetings to discuss project progress or findings. These responsibilities are crucial in ensuring that computer systems used in regulated industries, like pharmaceuticals or healthcare, function as intended and meet quality standards. Working closely with senior validation specialists, you'll gain hands-on experience with industry guidelines and learn how cross-functional teams collaborate to achieve compliance.

What are the key skills and qualifications needed for an internship in computer system validation (CSV)?

To thrive as an Internship Computer System Validation CSV specialist, you need foundational knowledge in computer science, life sciences, or engineering, along with an understanding of regulatory standards like GxP or FDA 21 CFR Part 11. Familiarity with validation documentation, software testing tools, and quality management systems is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting requirements and collaborating with cross-functional teams. These skills ensure compliance, data integrity, and the successful validation of computerized systems in regulated environments.

What is the difference between Internship Computer System Validation Csv vs Computer System Validation Specialist?

AspectInternship Computer System Validation CsvComputer System Validation Specialist
CredentialsTypically pursuing or recent graduate, basic understanding of validationRelevant certifications (e.g., GAMP, ISPE), experience preferred
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time role, independent responsibilities in regulated industries
Industry UsageUsed in pharmaceutical, biotech, and medical device companies for trainingUsed for maintaining compliance, validating systems in regulated environments

In summary, the Internship Computer System Validation Csv is an entry-level position focused on learning and supporting validation tasks, while the Computer System Validation Specialist is a more experienced role responsible for ensuring system compliance and validation in regulated industries.

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For Internship Computer System Validation Csv jobs in Arizona, the most frequently searched job titles are:

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What cities in Arizona are hiring for Internship Computer System Validation Csv jobs?

Cities in Arizona with the most Internship Computer System Validation Csv job openings:

Infographic showing various Internship Computer System Validation Csv job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Systems Engineer I - Software, Robotics & Semiconductor Automation

Phoenix, AZ • On-site

ASM
Medical Equipment and Supplies Manufacturing • 11 - 50 employees

$171K - $203K/yr

Full-time

Posted 27 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.Â