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Entry Level Computer Science Graduate Jobs in Dallas, TX

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

... ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience. entry level ...

CGI Inc.

Data Analyst - Entry Level

Dallas, TX · On-site

Graduate Position Description: Are you passionate about uncovering insights that drive smarter ... What You'll Bring • Bachelor's degree in Data Science, Information Systems, Computer Science ...

BakerHostetler

Patent Scientist

Dallas, TX · On-site

$70K - $75K/yr

Bachelor's degree in Computer Science required. * Advanced degree and/or relevant industry ... Compensation The anticipated starting salary range for this entry-level position is $70,000-$75,000.

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

As of Sep 13, 2026, the average hourly pay for entry level computer science graduate in Dallas, TX is $16.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $16.63 per hour, depending on experience, location, and employer.

What is an entry level computer science graduate?

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.

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 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 can a new entry level computer science graduate get a job?

An entry level computer science graduate can improve their job prospects by building a strong portfolio of projects, gaining experience through internships or coding competitions, and developing skills in programming languages like Python or Java. Networking through professional events and online platforms such as LinkedIn can also help connect with potential employers. Certifications in relevant areas like cybersecurity or data analysis can further enhance employability.

What can you do with an entry level computer science graduate with no experience?

An entry-level computer science graduate with no experience can pursue roles such as software developer intern, technical support specialist, or quality assurance tester. These positions often require basic programming skills, familiarity with tools like Git, and a willingness to learn on the job, providing opportunities to gain practical experience and develop skills for future roles.

What are the most commonly searched types of Computer Science Graduate jobs in Dallas, TX?

The most popular types of Computer Science Graduate jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Computer Science Graduate jobs?

Cities near Dallas, TX with the most Entry Level Computer Science Graduate job openings:

Entry Level Computer Science Graduate jobs near you
Infographic showing various Entry Level Computer Science Graduate job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $34,306 per year, or $16.5 per hour.

AI/ML Engineer

Dallas, TX • On-site

Aivra Health LLC
See more jobs at Aivra Health LLCexternal

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

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

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