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Computer System Engineer Jobs in Irvine, CA (NOW HIRING)

Sr Systems / Cloud Engineer

Lake Forest, CA ยท On-site

$110K - $151K/yr

Acts as a resource for system escalation issues. Documents platforms and processes for ongoing ... Responsible for complex testing and analysis of all elements of the computer systems. Provides ...

Sr Systems / Cloud Engineer

Lake Forest, CA ยท On-site

$110K - $151K/yr

Investigates and resolves system problems and system performance. โ€ข Schedules and coordinates ... and computer hardware/software. โ€ข Performs root cause analysis on failed components and ...

Systems Safety Engineer

Costa Mesa, CA ยท On-site

$146K - $194K/yr

... AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Reliability & System Safety Engineering organization is hiring System ...

New

Systems Engineer

Costa Mesa, CA ยท On-site

$115K - $140K/yr

Maintain system documentation as needed to support clients; continuously review documentation to ... Bachelor's Degree in Information Technology/Computer Science or equivalent * Three to Five years of ...

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Showing results 1-20

Computer System Engineer information

See Irvine, CA salary details

$57.4K

$136.6K

$179.3K

How much do computer system engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for computer system engineer in Irvine, CA is $136,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Computer System Engineer vs Network Engineer?

AspectComputer System EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science, certifications like CompTIA, Cisco (CCNA)Bachelor's in Computer Science or related, Cisco certifications (CCNA, CCNP)
Work EnvironmentDesigning, implementing, and maintaining computer systems and infrastructureDesigning, deploying, and managing network infrastructure and security
Employer & Industry UsageIT companies, large corporations, government agenciesTelecommunications, IT service providers, large enterprises
Common Search & ComparisonOften compared for system design and infrastructure rolesCompared for network setup and security roles

Computer System Engineers focus on designing and maintaining overall computer systems, including hardware and software integration. Network Engineers specialize in building and managing network infrastructure. Both roles require similar certifications and often work in overlapping industries, but their core responsibilities differ in scope and focus.

What cities near Irvine, CA are hiring for Computer System Engineer jobs? Cities near Irvine, CA with the most Computer System Engineer job openings:
Infographic showing various Computer System Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $136,551 per year, or $65.6 per hour.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA โ€ข On-site

$119K - $141K/yr

Contractor

Posted yesterday


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 โ€“ Friday | 8:00 AM โ€“ 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.