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Computer Science Jobs in Orange, CA (NOW HIRING)

Computer Vision Engineer

Costa Mesa, CA

$119.60K - $141.10K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$118.20K - $139.40K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$166K - $220K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

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Computer Science information

See Orange, CA salary details

$60.4K

$88.8K

$104.7K

How much do computer science jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science in Orange, CA is $88,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $99,900.00 per year, depending on experience, location, and employer.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What are the most commonly searched types of Computer Science jobs in Orange, CA? The most popular types of Computer Science jobs in Orange, CA are:
What are popular job titles related to Computer Science jobs in Orange, CA? For Computer Science jobs in Orange, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Orange, CA look for? The top searched job categories for Computer Science jobs in Orange, CA are:
What cities near Orange, CA are hiring for Computer Science jobs? Cities near Orange, CA with the most Computer Science job openings:
Infographic showing various Computer Science job openings in Orange, CA as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 21% Part Time, and 6% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $88,782 per year, or $42.7 per hour.
Data Science Instructor - Pool - UCLA Extension

Data Science Instructor - Pool - UCLA Extension

University of California, Los Angeles

Los Angeles, CA • On-site

Other

Posted 6 days ago


Job description

Position description
UCLA Extension is considered one of the top programs of its kind, offering to more than 35,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education, and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region.
Course / Program Description
UCLA Extension is considered one of the top institutions of its kind, offering to more than 32,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region.
The Engineering and Computer Science Academic Unit offers a wide variety of certificate programs and courses including post-baccalaureate credit-bearing (400-level) and continuing education (CEU) credit courses. Course disciplines span engineering, computer science and technical management subject areas. UCLA Extension courses and certificate programs offer students the opportunity to learn from highly qualified practitioners who hold advanced degrees and are passionate about teaching and can impart knowledge within their field of expertise.
UCLA Extension is seeking experienced professionals to serve as Part-Time Instructors for courses within our Data Science and Data Engineering certificate programs. This role requires in-person instruction at our Westwood or Downtown Los Angeles (DTLA) campuses. We are looking for passionate subject matter experts who can translate complex, real-world data challenges into an engaging and effective learning experience for adult students.
Job Description
The current opening is for our Data Science & Data Analytics courses. Qualified applicants possessing current knowledge and teaching experience in this area are encouraged to apply.
Applications to teach are accepted throughout the year to fill immediate program needs and to increase the depth of the instructor pool. We are looking for instructors to teach the following courses:
• Data Science Fundamentals
• Data Engineering
• Big Data Management
• Machine Learning System Design
• Python Programming
• Cloud Computing
• Exploratory Data Analysis and Visualization
• Data Modeling and Datastore Design
• Data Pipeline Architecture
Instructor Duties:
The primary responsibilities of the instructor are to ensure a high-quality, engaging, and relevant educational experience for students.
Curriculum Development:
  • Develop and/or update existing course syllabus in consultation with the UCLA Extension Program Director using the approved syllabus template.

Course Delivery & Preparation:
  • Prepare course materials (e.g., lectures, readings, assignments) and learning assessments (quizzes, projects) in the learning management system, Canvas.
  • Clearly communicate and teach the course objectives and the specific learning outcomes to students. Student Engagement & Support:
  • For 100% online instructional mode, hold once a week online office hours via Zoom for students to optionally participate to cover course-related topics and Q/A.
  • Maintain weekly, and preferably daily, interaction with students' discussion posts on Canvas to promote high engagement and collaboration for an optimum learning experience.
  • Respond to student questions and learning needs in a timely manner. Assessment & Grading:
  • Review students' progress through the course and assign timely grading of all coursework.
  • Enter final letter grades in the required portal at the end of each academic quarter.

General Employment Information
Employment as a UCLA Extension Instructor is dictated by contract terms and conditions. Please take the time to read the UCLA Extension Instructor Employment Policies
For information on UCLA Extension instructor benefits, please visit Pay, Benefits, & Privileges .
Program: https://www.uclaextension.edu/computer-science/data-analytics-infrastructure/certificate/data-science
Instructor Resources: https://instructor.uclaextension.edu/
Qualifications
Basic qualifications
Education: A minimum of a master's degree in Data Science, Computer Science, Statistics, or a closely related quantitative field.
Experience: A minimum of 10 years of recent, practical, professional experience working as a Data Scientist, Data Engineer, or in a similar advanced analytics role.
Technical Expertise (Must be proficient in at least two areas):
Data Science: Machine learning (e.g., Python/R, scikit-learn, TensorFlow, PyTorch), statistical modeling, and data visualization.
Data Engineering: Cloud data platforms (e.g., AWS, Azure, GCP), ETL/ELT pipeline design, distributed processing (e.g., Spark, Hadoop), and advanced SQL/NoSQL databases.
Teaching/Training: Prior teaching or training experience with adult learners in a corporate or academic setting is highly desirable.
Application Requirements
Document requirements
  • Curriculum Vitae/Resume - Your most recently updated Curriculum Vitae/Resume
  • Cover Letter

Reference requirements
References are requested from candidates after the interviewing stage, and references are only contacted for finalists via SkillSurvey system.
Apply link: https://recruit.apo.ucla.edu/JPF10736
Help contact: ehr@unex.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Los Angeles, CA