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Computer Science Engineer Jobs in Port St Lucie, FL

Bachelor's degree in Computer Science, Data Science, Data Analytics , Mechanical Engineering, or a related quantitative/technical field . * Generative AI & ML: Practical experience with Machine ...

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Biomedical Engineering, Medical Laboratory Science, or related field, or equivalent combination of education and ...

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Biomedical Engineering, Medical Laboratory Science, or related field, or equivalent combination of education and ...

DevOps Manager

FL

$45.75 - $62.75/hr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Hands-on experience managing and configuring build pipelines and CI/CD using platforms such as Azure DevOps. * ...

AI Engineer

Jupiter, FL ยท On-site

As an AI Engineer, you'll work at the intersection of engineering and real-world business context ... Computer Science or related field * Experience building agentic AI systems with tool use, multi ...

Cyber Warfare Engineer Officer - FL

Stuart, FL ยท On-site

$4.0K - $6.0K/mo

Apply principles and techniques of computer science and computer engineering to build software and firmware to defend our nation's vital computer networks. PAY AND BENEFITS Our people are our most ...

Showing results 21-40

Computer Science Engineer information

See Port St Lucie, FL salary details

$48.5K

$121.5K

$137.5K

How much do computer science engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science engineer in Port St. Lucie, FL is $121,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a computer science engineer?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What do computer science engineers do?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

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

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.

Do computer science engineers make good money?

Computer science engineers typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions often start with moderate pay, while experienced engineers working in specialized fields or in high-demand areas can earn significantly higher salaries, especially with skills in programming, software development, and systems design.

What job categories do people searching Computer Science Engineer jobs in Port St. Lucie, FL look for?

The top searched job categories for Computer Science Engineer jobs in Port St. Lucie, FL are:

What cities near Port St. Lucie, FL are hiring for Computer Science Engineer jobs?

Cities near Port St. Lucie, FL with the most Computer Science Engineer job openings:

Infographic showing various Computer Science Engineer job openings in Port St. Lucie, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $121,511 per year, or $58.4 per hour.

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases.

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

Equal Opportunity Veterans/Disabled