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

Broadcom

IC CAD Engineer

Irvine, CA

$127K - $226K/yr

Master in Electrical Engineering or Computer Science + 10 years of EDA experience. * Expertise in the following CAD Tools: Virtuoso Studio 25.1, Cadence Maestro, Spectre, Virtuoso Layout, Quantus QRC ...

Broadcom, Inc.

IC CAD Engineer

Irvine, CA · On-site

$127K - $226K/yr

Master in Electrical Engineering or Computer Science + 10 years of EDA experience. * Expertise in the following CAD Tools: Virtuoso Studio 25.1, Cadence Maestro, Spectre, Virtuoso Layout, Quantus QRC ...

Saransh Inc

Azure Engineer - Full Time

Aliso Viejo, CA · On-site

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

Broadcom

IC CAD Engineer

Irvine, CA

$127K - $203K/yr

Masters in Electrical Engineering or Computer Science plus 10+ years of EDA experience. * User level familiarity with related CAD Tools: Calibre, Virtuoso Layout & Schematics, Quantus QRC/StarRC ...

Compunnel

Software Engineer

Aliso Viejo, CA · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * 5+ years of experience in software development. * Proven experience in leading technical teams. * Strong understanding of ...

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All JobsComputer Science Engineer JobsComputer Science Engineer Jobs in Irvine, CA

Computer Science Engineer information

See Irvine, CA salary details

$52.1K

$130.4K

$147.6K

How much do computer science engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science engineer in Irvine, CA is $130,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $141,200.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

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 Computer Science Engineers?

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 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 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.
What are popular job titles related to Computer Science Engineer jobs in Irvine, CA? For Computer Science Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineer jobs in Irvine, CA look for? The top searched job categories for Computer Science Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Computer Science Engineer jobs? Cities near Irvine, CA with the most Computer Science Engineer job openings:
Computer Science Engineer jobs near you
Infographic showing various Computer Science Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $130,434 per year, or $62.7 per hour.

Machine Learning Engineer (Hybrid- Greenfield Opportunity)

Match Made Tech

Irvine, CA • On-site, Remote

$75 - $95/hr

Other

Posted 3 days ago

Job description

AI/ML Engineer - Greenfield AI Project

UNABLE TO OFFER SPONSORSHIP- US CITIZENS & GREEN CARD ONLY

LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER

COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time.

About Us

We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI/ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.

Job Description

About the Role

We are seeking a skilled AI/ML Engineer to join our team to design, develop, and deploy machine learning models that solve real-world business challenges. You will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization.

Key Responsibilities
  • Model Development & Training
    • Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.
    • Design, develop, and train models using state-of-the-art machine learning techniques and tools.
    • Select appropriate annotated datasets and transform raw data into machine learning-ready formats.
  • Data Preparation & Feature Engineering
    • Analyze and process structured/unstructured data for training and evaluation.
    • Develop feature extraction and selection pipelines to improve model performance.
  • Experimentation & Optimization
    • Run controlled experiments and perform statistical analysis to validate models.
    • Refine model hyperparameters and evaluation metrics for optimal performance.
  • Deployment & Integration
    • Work closely with ML Ops to deploy and monitor models in production environments.
    • Ensure all models are integrated seamlessly into existing systems.
  • Collaboration & Code Quality
    • Participate in code reviews, pair programming, and knowledge-sharing sessions.
    • Write testable, production-quality code that aligns with engineering best practices.
Qualifications & Skills
  • 3–5 years as an ML/AI Engineer or 1–3 years in an ML/AI leadership role
  • Proven experience building and deploying machine learning models in production
  • Solid understanding of classical ML algorithms (classification, regression, clustering)
  • Experience working with changing datasets and real-time data pipelines
  • Hands-on experience with Python and frameworks like PyTorch, TensorFlow, Scikit-learn
  • Strong knowledge of data processing (ETL), feature engineering, and statistical evaluation
  • Solid understanding of REST APIs, CI/CD, and containerized deployments (Docker, Kubernetes)
  • Strong communication, analytical thinking, and problem-solving skills
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field
Preferred Qualifications (Nice-to-Have)
  • Master's or PhD degree in Computer Science, Engineering, or a related field
  • Experience with neural networks and deep learning applications in computer vision, time-series analysis, or reinforcement learning
  • Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Familiarity with version control and experimentation tracking tools
  • Basic knowledge of data governance, security, and compliance standards

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