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Entry Level Computer Science Degree Jobs in Colorado

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

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We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

Bachelor's degree minimum * Due to Contractual requirements, must be a U.S. Person defined as, U.S ... S. in computer science, mathematics, physics, electrical engineering, or a related field

iOS Engineer

Boulder, CO

$100K - $125K/yr

Bachelors of Science Degree in Computer Science, Computer Engineering, Software Engineering, or another relevant engineering/technical field AND a minimum of 1 year relevant experience OR an ...

Android Engineer

Boulder, CO · On-site

$100K - $120K/yr

Bachelors of Science Degree in Computer Science, Computer Engineering, Software Engineering, or another relevant engineering/technical field AND a minimum of 1 years relevant experience OR an ...

3D CAD Automation Engineer

Golden, CO · On-site

$80K - $100K/yr

Bachelor's degree in Engineering, Computer Science, or a related technical field (or equivalent experience) * Demonstrated experience developing automation solutions in Autodesk Inventor * Strong ...

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Entry Level Computer Science Degree information

See Colorado salary details

$31K

$105.4K

$253.9K

How much do entry level computer science degree jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level computer science degree in Colorado is $105,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $111,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Graduate, and why are they important?

To thrive as an Entry Level Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by a bachelor's degree in computer science or a related field. Familiarity with version control systems (like Git), basic software development tools, and potentially certifications like CompTIA IT Fundamentals or AWS Certified Cloud Practitioner is valuable. Strong problem-solving abilities, teamwork, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are important because they enable you to contribute to technology projects efficiently, adapt to new challenges, and work effectively with diverse teams.

What types of projects or tasks can I expect to work on as an entry-level computer science graduate?

As an entry-level computer science graduate, you can expect to work on a variety of foundational tasks such as debugging code, writing and testing software modules, maintaining databases, and assisting with user support. Many teams pair new hires with experienced mentors, allowing you to learn best practices and gradually take on more complex responsibilities. You may also participate in team meetings, contribute to documentation, and collaborate with other departments like quality assurance or product management. This hands-on experience helps you build technical skills while developing a deeper understanding of the software development lifecycle.

What jobs can I get with an entry level computer science degree?

With an entry level computer science degree, you can qualify for a range of positions such as software developer, web developer, IT support specialist, data analyst, and quality assurance tester. Many entry-level roles involve programming, assisting with software development, troubleshooting technical issues, and supporting IT infrastructure. Some graduates also find opportunities in fields like cybersecurity, database management, and network administration. Your exact job prospects may depend on your coursework, internships, and technical skills. Building a portfolio and gaining practical experience through projects or internships can enhance your chances in the job market.

What can I do with a computer science degree with no experience?

Entry level computer science roles often include positions such as software developer, technical support, or QA tester, which may require only a degree and foundational skills in programming languages like Python or Java. Internships, volunteering, or personal projects can help build experience and demonstrate skills to employers. Certifications in areas like cybersecurity or cloud computing can also improve job prospects for beginners.
What are popular job titles related to Entry Level Computer Science Degree jobs in Colorado? For Entry Level Computer Science Degree jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Degree jobs in Colorado look for? The top searched job categories for Entry Level Computer Science Degree jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Computer Science Degree jobs? Cities in Colorado with the most Entry Level Computer Science Degree job openings:
Infographic showing various Entry Level Computer Science Degree job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,431 per year, or $50.7 per hour.

Software Engineer - Entry Level

VDURA

Longmont, CO

Full-time

Posted 2 days ago


Job 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.