1

Computer Science Engineering Jobs in Denton, TX (NOW HIRING)

Master's degree or foreign equivalent degree in Information Systems, Computer Science, Engineering, or a related field and one year of experience in the job offered or a related occupation. Employer ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. 2~5 years of experience in machine learning, data science, or a related field. Proficiency in ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • 2~5 years of experience in machine learning, data science, or a related field. • ...

Gen AI developer

Irving, TX

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Required : • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • 2~5 years of experience in machine learning, data science, or a related field. • ...

Lead Data Engineer

Dallas, TX · On-site

$101K - $133K/yr

Bachelor's degree in computer science, engineering or related field with 8+ years of data engineering experience. * Strong programming skills in Python and/or PySpark. * Experience with cloud data ...

Showing results 41-60

Computer Science Engineering information

See Denton, TX salary details

$45.5K

$113.9K

$128.9K

How much do computer science engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science engineering in Denton, TX is $113,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $123,300.00 per year, depending on experience, location, and employer.

What is computer science engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What are the key skills and qualifications needed to thrive as a computer science engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What are some common challenges faced by computer science engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and technical support.

What job categories do people searching Computer Science Engineering jobs in Denton, TX look for?

The top searched job categories for Computer Science Engineering jobs in Denton, TX are:

What cities near Denton, TX are hiring for Computer Science Engineering jobs?

Cities near Denton, TX with the most Computer Science Engineering job openings:

Infographic showing various Computer Science Engineering job openings in Denton, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $113,934 per year, or $54.8 per hour.

AI Engineer, Data Science - Information Technology

ServiceLink

Plano, TX • On-site, Remote

$107K - $128K/yr

Full-time

Re-posted 10 days ago


ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Overview

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you'll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision-making through cutting-edge AI technologies.

This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week.  Candidates must be located within reasonable commuting distance of this office and be willing to work in-office on a regular basis.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

In this role, you will...

  • Build and deploy AI Agents and Tools.
  • Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
  • Develop GenAI-based solutions for intelligent data retrieval.
  • Collaborate with cross-functional teams-including Data Engineering, Product, and Infrastructure-to ensure secure, scalable, and efficient AI deployments.
  • Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.

 

WHO YOU ARE

You possess ...

  • A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
  • Hands-on expertise in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.
  • Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
  • Experience operationalizing AI models using MLOps best practices.
  • Strong problem-solving skills and the ability to translate complex technical concepts into actionable insights.
  • A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities
  • Build and deploy AI Agents for workflow automation tasks.
  • Develop and fine-tune LLMs for domain-specific applications.
  • Implement reinforcement learning algorithms and multi-agent architectures for intelligent automation.
  • Create GenAI-powered solutions for natural language-driven data retrieval and visualization.
  • Build robust MLOps pipelines for model deployment and monitoring.
  • Collaborate with stakeholders to align AI solutions with business objectives.
  • Continuously research and apply state-of-the-art AI techniques to improve system performance.
  • All other duties as assigned.
Qualifications
  • Bachelor's degree in computer science, Engineering, or related discipline.
  • Project experience in LLM fine-tuning, reinforcement learning, multi-agent systems, and generative AI.
  • Strong programming skills in Python.
  • Excellent communication and collaboration skills.
Employment Type: FULL_TIME

What ServiceLink employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom