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Entry Level Computer Science Graduate Jobs in Nottingham, MD

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Entry Level Computer Science Graduate information

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How much do entry level computer science graduate jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level computer science graduate in Nottingham, MD is $16.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $16.73 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Graduate vs Software Developer?

AspectEntry Level Computer Science GraduateSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's in Computer Science or related field; coding skills
Work EnvironmentInternships, entry-level roles, training programsDevelopment teams, tech companies, startups
Employer & Industry UsageUniversities, tech firms, government agenciesSoftware companies, IT departments, tech startups
Common Search/ComparisonYesYes

Entry Level Computer Science Graduates typically possess foundational knowledge and may be in internships or entry roles, focusing on learning and skill development. Software Developers build on this foundation, actively creating and maintaining software applications in professional environments. While both roles require similar educational backgrounds, Software Developers usually have more practical coding experience and responsibilities.

How to get a CS job with no experience?

Entry level computer science jobs often accept candidates with strong foundational skills in programming languages like Python or Java, even without professional experience. Building a portfolio through personal projects, internships, or contributing to open-source can demonstrate your abilities. Earning relevant certifications or completing coding bootcamps can also improve your chances of securing an entry-level position.

What types of projects or tasks can an entry level computer science graduate expect to work on during their first year?

As an entry level computer science graduate, you can expect to work on a variety of tasks such as debugging software, writing code for smaller features, assisting with testing and quality assurance, and supporting senior developers on larger projects. You may also participate in code reviews, maintain documentation, and collaborate closely with team members from development, QA, and product management. These responsibilities are designed to help you build technical proficiency, familiarize yourself with company tools and processes, and gain experience working in a professional software development environment.

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 foundational knowledge in programming languages (such as Python, Java, or C++), algorithms, and data structures, supported by a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development tools or cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and adapt within dynamic environments. These skills and qualities enable you to efficiently contribute to software projects, learn new technologies quickly, and work productively within engineering teams.

What jobs can you land as a new grad with a computer science degree?

Entry-level computer science graduates can pursue roles such as software developer, web developer, quality assurance tester, technical support specialist, or data analyst. These positions typically require knowledge of programming languages like Java, Python, or C++, and may involve working with tools like Git or SQL in team environments. Starting salaries vary by location and industry, but these roles often offer opportunities for skill development and career growth.

What professions make $200,000 a year without a degree?

Entry-level computer science graduates typically do not earn $200,000 annually without additional experience or advanced skills. High-paying tech roles such as software engineers, data scientists, or cybersecurity specialists often require several years of experience, specialized certifications, or advanced training beyond an entry-level position. Some self-employed professionals or entrepreneurs in tech-related fields can reach this income level without a degree, but it is uncommon at the start of a career.

What are entry level computer science graduates?

Entry level computer science graduates are individuals who have recently completed a degree in computer science and are beginning their professional careers. They typically possess foundational knowledge in programming, algorithms, data structures, and software development. These graduates often seek positions such as junior software developer, IT support specialist, or QA tester. Employers look for candidates who can demonstrate problem-solving skills, a willingness to learn, and the ability to work effectively in a team.

How to make 10,000 a month with no degree?

Entry level computer science graduates can increase earning potential by developing in-demand skills such as programming, cybersecurity, or data analysis, and gaining certifications like CompTIA or Cisco. Freelancing, remote work, or starting a tech-related business can also help reach higher income levels without a degree, but consistent effort and skill development are essential.
What job categories do people searching Entry Level Computer Science Graduate jobs in Nottingham, MD look for? The top searched job categories for Entry Level Computer Science Graduate jobs in Nottingham, MD are:
What cities near Nottingham, MD are hiring for Entry Level Computer Science Graduate jobs? Cities near Nottingham, MD with the most Entry Level Computer Science Graduate job openings:
Infographic showing various Entry Level Computer Science Graduate job openings in Nottingham, MD as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $34,515 per year, or $16.6 per hour.
2026 PhD Graduate - Cyber Resilience of Military Systems

2026 PhD Graduate - Cyber Resilience of Military Systems

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 59 rated research


Job description

Description
Do you love to push the bounds of science and technology while solving some of the most ambitious problems facing our Nation?
Are you a creative and inventive researcher looking to defend military systems?
If you are graduating with a PhD in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics, or related fields, and want to contribute to important national security missions, we'd love to have you join our team!
We are seeking dedicated individuals to perform purposeful research into cyber resilience of military platforms/systems supporting state-of-the-art capability development. Our team works collaboratively with industry, academia, and government to study, design, develop, implement, and test cyber capabilities applied to air, afloat, ground, and undersea military and/or tactical platforms and systems.
As a member of our team...
  • You will enhance the architecture and design of ships, subs, aircraft, autonomous military systems, and weapons to enhance resilience to cyber attack in the presence of an adverse cyber environment.
  • You will join forces with team members in the analysis of systems to identify and understand security vulnerabilities and their impact on missions.
  • You will also collaborate with team members in the definition and design of robust and resilient solutions for the acquisitions, operations and sustainment of military and tactical systems in the presence of adverse cyber environments.
  • You can use internal funding opportunities to craft the direction of future research.
  • You will circulate knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related technical area.
  • Have an educational background or specialization interest in at least one of the following categories:
    • Proficiency in one or more programming languages such as Python, Java, Golang, Rust, C, or C++.
    • Proven experience in software development, testing, and deployment, preferably in a cybersecurity context.
    • Experience writing, analyzing, performing gap analysis, or validating requirements in accordance with INCOSE or IEEE/ISO standards.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.
  • Proven demonstration as a critical thinker, developing solutions to complex problems.
  • Excellent communication skills, both written and verbal.
  • Ability to occasionally travel (up to 10%) and work as required in classified areas.
  • Are able to acquire an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI+poly level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have experience designing solutions that inhibit or mitigate operational impact from cyber attack given constraints of funding, operations, performance and/or organization.
  • Have experience applying data science, mathematical modeling, and/or machine learning (ML) and artificial intelligence (AI) techniques to solve cyber problems.
  • Experience with computer networks and network analysis tools (e.g., Wireshark, Suite).
  • Engineering experience in the area of model-based systems engineering (MBSE).
  • Experience using tools such as Cameo or other industry standards for developing complex systems-of-systems models.
  • Hands-on experience planning, developing, and using simulation capabilities and advanced analytics for analyzing complex problems.
  • Experience with virtual machines, virtual networking, and/or hypervisor configuration/management (e.g., ESXi, Hyper-V).
  • Have had prior interactions with the DoD and IC communities.
  • Hold an active DoD Top Secret or TS/SCI Clearance.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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