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Validation Engineer Entry Level Jobs (NOW HIRING)

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Support system validation, performance testing, and reliability improvements. * Performance and ...

Systems Engineer (Entry-Level) Company: The Boeing Company Boeing Defense, Space, and Security (BDS ... Configure and run simulations to support procedure validation. * Support technical analyses and ...

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Systems Engineer (Entry-Level) Company: The Boeing Company Boeing Defense, Space, and Security (BDS ... Configure and run simulations to support procedure validation. * Support technical analyses and ...

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Validation Engineer Entry Level information

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How much do validation engineer entry level jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for validation engineer entry level in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level validation engineers earn significantly less, highly experienced engineers in specialized fields such as aerospace, petroleum, or software engineering with advanced skills and certifications can reach or exceed $500,000 annually. These roles often require extensive experience, leadership responsibilities, or working in high-paying industries and may include bonuses or stock options.

What engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, software engineering, or aerospace engineering can earn $300,000 or more annually, often with advanced skills, certifications, and leadership roles. Salaries at this level typically require many years of experience, working in high-demand industries, or holding executive or senior management positions.

What is a Validation Engineer Entry Level job?

An Entry-Level Validation Engineer is responsible for testing and verifying that products, systems, or processes meet required standards and specifications. They work in industries like pharmaceuticals, manufacturing, and software, ensuring compliance with regulations and quality standards. Their tasks may include writing test protocols, analyzing data, and troubleshooting issues. This role requires attention to detail, problem-solving skills, and knowledge of engineering principles. Typically, they work under supervision but gain experience to take on more complex validation tasks over time.

Are validation engineers in demand?

Validation engineers are in demand across industries such as pharmaceuticals, biotechnology, and manufacturing, where ensuring compliance and quality standards is critical. The role often requires knowledge of regulatory requirements, validation protocols, and tools like GxP and SOPs, making skilled professionals valuable in regulated environments.

How to get into validation engineering?

To enter validation engineering, candidates typically need a bachelor's degree in engineering, science, or a related field. Gaining experience with quality systems, validation protocols, and tools like GMP or ISO standards is important, along with developing skills in documentation and troubleshooting. Certifications such as CQE or CSQE can enhance job prospects in this field.

What are the key skills and qualifications needed to thrive in the Validation Engineer Entry Level position, and why are they important?

To thrive as a Validation Engineer Entry Level, you need a solid background in engineering or the life sciences, attention to detail, and a basic understanding of validation protocols and regulatory standards. Familiarity with technical tools such as data logging software, validation documentation, and quality management systems like ISO or GMP is highly valuable. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and presenting findings. These abilities ensure accuracy, compliance, and effective teamwork in delivering reliable processes and products in regulated industries.

What are the typical daily responsibilities of an Entry Level Validation Engineer?

As an Entry Level Validation Engineer, your daily tasks often include executing validation protocols, documenting test results, and assisting with equipment or process qualification under supervision. You'll collaborate closely with senior engineers, quality assurance teams, and production staff to ensure systems meet regulatory and company standards. Troubleshooting, process improvement, and maintaining accurate records are also common parts of the role. This position is a great opportunity to develop technical expertise and gain practical experience in a regulated industry, setting the foundation for future career advancement.

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What cities are hiring for Validation Engineer Entry Level jobs? Cities with the most Validation Engineer Entry Level job openings:
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What states have the most Validation Engineer Entry Level jobs? States with the most job openings for Validation Engineer Entry Level jobs include:

Software Engineer - Entry Level

VDURA

Niwot, CO โ€ข On-site

Full-time

Posted 29 days ago


Job description

Description
Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.

Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.

Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the world's most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.