ZipRecruiter

Log In

1

Computer Engineering Technology Jobs in Los Angeles, CA

previous page

Showing results 41-60

All JobsComputer Engineering Technology JobsComputer Engineering Technology Jobs in Los Angeles, CA

Computer Engineering Technology information

See Los Angeles, CA salary details

$52.3K

$130.9K

$148.2K

How much do computer engineering technology jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer engineering technology in Los Angeles, CA is $130,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $141,700.00 per year, depending on experience, location, and employer.

What is computer engineering technology?

A Computer Engineering Technology job focuses on applying engineering principles to design, develop, test, and maintain computer hardware and software systems. Professionals in this field work with embedded systems, networking, cybersecurity, and automation to create efficient technology solutions. They often bridge the gap between hardware and software, ensuring that systems function seamlessly. Jobs can include roles like systems analyst, network administrator, or embedded systems developer. This career typically requires knowledge of programming, circuit design, and troubleshooting electronic devices.

What does a computer engineering technology professional do?

In Computer Engineering Technology, your day often includes tasks such as designing and testing computer hardware, troubleshooting circuits and systems, and collaborating with software developers to ensure seamless integration. You may spend time in both laboratory and office environments, working with diagnostic tools and meeting with team members to discuss project progress. The role typically involves problem-solving and adapting to new technologies, which keeps each day dynamic and engaging. You’ll also document your work and may participate in regular technical reviews or project meetings.

What are the key skills and qualifications needed for computer engineering technology?

To thrive in Computer Engineering Technology, you need a strong foundation in computer hardware, embedded systems, programming, and circuit analysis, typically supported by a degree in computer engineering technology or a related discipline. Familiarity with tools such as logic analyzers, microcontrollers, PCB design software, and certifications like CompTIA or Cisco can be highly valuable. Strong problem-solving skills, teamwork, and effective communication are important soft skills for excelling in this role. These skills ensure the ability to design, troubleshoot, and maintain complex systems while collaborating efficiently with multidisciplinary teams.

What does a computer engineering technologist do?

A computer engineering technologist designs, develops, tests, and maintains computer hardware and software systems. They often work with circuit boards, embedded systems, and networking equipment, using tools like CAD software and diagnostic hardware. Their role typically involves troubleshooting technical issues and ensuring systems operate efficiently in various technical environments.

What jobs can you get with computer engineering technology?

Computer Engineering Technology graduates can pursue roles such as computer support specialists, network administrators, hardware technicians, systems analysts, and embedded systems technicians. These jobs typically require knowledge of computer hardware, networking, programming, and troubleshooting, often involving the use of tools like CAD software and certifications such as CompTIA A+ or Cisco CCNA.

What are popular job titles related to Computer Engineering Technology jobs in Los Angeles, CA?

For Computer Engineering Technology jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Computer Engineering Technology jobs in Los Angeles, CA look for?

The top searched job categories for Computer Engineering Technology jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Engineering Technology jobs?

Cities near Los Angeles, CA with the most Computer Engineering Technology job openings:

Computer Engineering Technology jobs near you
Infographic showing various Computer Engineering Technology job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,934 per year, or $62.9 per hour.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA • On-site

$119K - $141K/yr

Contractor

Re-posted 13 days ago

Job description

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

Location: Irvine, CA (Hybrid)

Duration: 12-Month Contract

Schedule: Monday – Friday | 8:00 AM – 5:00 PM PST

Position Overview

We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting-edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

  • Lead validation activities for 3D facial capture and imaging systems.
  • Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
  • Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
  • Document findings and communicate results to technical and business stakeholders.
  • Computer Vision & Digital Endpoint Development
  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
  • Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
  • Support the development of clinically relevant outcome measures using advanced image analysis techniques.
  • Establish best practices for data preprocessing, quality control, and feature engineering.
  • Machine Learning & Data Science
  • Build, train, and evaluate machine learning models using 3D imaging datasets.
  • Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
  • Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
  • Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
  • Cross-Functional Collaboration
  • Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
  • Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
  • Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
  • 3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
  • Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with:
  • 3D Meshes
  • Point Clouds
  • Depth Maps
  • Photogrammetry Data
  • Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
  • Strong background in statistical analysis, validation methodologies, and experimental design.
  • Excellent communication and technical documentation skills.