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Intern Computer Jobs in California (NOW HIRING)

Intern

San Diego, CA · On-site

$16 - $21.25/hr

Open Until Filled Yes Classification Title Intern Working Title Recruitment Limits Location ... Have fingerprints taken by a Live Scan computer at the district's expense (Clearance must be ...

Recreation Therapy Intern

San Ramon, CA

$16.75 - $21.75/hr

Modern office practices, methods, and computer equipment and applications, including word ... The intern will have had sufficient education and practical work experience to fulfill their ...

BIM Intern

Long Beach, CA · On-site

$24 - $26/hr

The BIM Intern will support our BIM Studio, a specialized team that enables project delivery through BIM/CAD standards, project setup, model management, content development, coordination support, and ...

We are seeking an intern to join our Treasury team this summer! Apply today to gain hands-on ... Basic skills in computer terminal and personal computer operation. * Project a businesslike ...

AS CAD Intern Job

Carson, CA

$20.19 - $26.92/hr

Primary location: Carson, California Relocation offered: No Employment status: Full-Time Travel: What's in it for you * Experience working in a combined office and manufacturing facility under one ...

AS CAD Intern Job

Carson, CA

$20.19 - $26.92/hr

Primary location: Carson, California Relocation offered: No Employment status: Full-Time Travel: What's in it for you * Experience working in a combined office and manufacturing facility under one ...

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Intern Computer information

What are the key skills and qualifications needed to thrive as an Intern Computer, and why are they important?

To thrive as a Computer Intern, you need foundational knowledge in computer science principles, programming languages, and problem-solving, usually supported by current enrollment in a relevant degree program. Familiarity with software development tools, version control systems like Git, and basic debugging or testing frameworks is often expected. Strong communication, eagerness to learn, and teamwork skills help you collaborate effectively and adapt to workplace environments. These skills and qualities are essential for contributing to technical projects, absorbing industry practices, and maximizing learning during the internship.

What types of projects and tasks can an Intern Computer expect to work on during their internship?

As an Intern Computer, you can expect to work on a variety of tasks such as assisting with software development, troubleshooting hardware or software issues, performing quality assurance testing, and supporting IT infrastructure projects. You'll likely collaborate closely with experienced engineers, IT professionals, and other interns, providing you with valuable exposure to real-world challenges and workflows. This hands-on experience will help you build technical skills, understand best practices, and develop a professional network, all of which are beneficial for your future career advancement.

What does an Intern Computer do?

An Intern Computer, often referred to as a Computer Intern, typically assists IT departments or tech teams by supporting software development, troubleshooting hardware and software issues, and helping with data analysis or documentation. These interns gain hands-on experience with various computer systems, programming languages, and workplace technologies. They work under the supervision of experienced professionals and may also contribute to specific projects or tasks, depending on the organization's needs. This role is a valuable opportunity for students or recent graduates to apply their academic knowledge in a real-world setting.

Am I screwed if I have no internships?

Having internships as an intern computer can strengthen your resume and demonstrate practical experience, but they are not always mandatory. Employers also value relevant skills, certifications, personal projects, and a strong understanding of programming languages and tools. Building a portfolio or gaining hands-on experience through self-study can help compensate for a lack of formal internships.

What is the difference between Intern Computer vs Intern Network Technician?

AspectIntern ComputerIntern Network Technician
Required CredentialsHigh school diploma or ongoing college coursework in IT or computer scienceHigh school diploma or ongoing coursework; some familiarity with networking certifications helpful
Work EnvironmentOffice, computer labs, or remote settings assisting with hardware/software setupNetwork labs, data centers, or office environments supporting network infrastructure
Employer & Industry UsageIT departments, tech companies, educational institutionsTelecom companies, IT service providers, large corporations with network needs

Intern Computer roles focus on general computer hardware and software support, while Intern Network Technician positions emphasize networking infrastructure and connectivity. Both roles serve as entry points in IT, but Intern Network Technician roles require more specialized knowledge of networks and protocols.

What are the most commonly searched types of Computer jobs in California? The most popular types of Computer jobs in California are:
What cities in California are hiring for Intern Computer jobs? Cities in California with the most Intern Computer job openings:
Machine Learning Computer Vision Intern

Machine Learning Computer Vision Intern

Syntiant

Redwood City, CA

Temporary

Posted 27 days ago


Job description

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Computer Vision Intern expand our computer vision detection capabilities through strategic framework diversification and cutting-edge algorithm exploration.

We have a robust, production-proven detection pipeline implemented in C++ that consistently delivers high-quality results in our live systems. To accelerate our research initiatives and explore next-generation detection methodologies, we're creating a parallel PyTorch-based research pipeline. This exciting initiative will enable our team to rapidly prototype and validate innovative detection approaches while maintaining our proven production standards.

PyTorch is the industry-leading framework for computer vision research and experimentation. By leveraging PyTorch's rich ecosystem and flexibility, this project will unlock opportunities to integrate state-of-the-art detection architectures and explore novel approaches that could define the future of our detection capabilities.

This internship offers the unique opportunity to work with both production-grade systems and cutting-edge research, directly shaping the future of our computer vision capabilities while gaining invaluable experience in both software engineering and AI research.

Requirements

Specific Duties and Responsibilities:

  • Architecting a PyTorch-based detection pipeline inspired by our proven C++ system.
  • Implementing and validating detection algorithms using modern deep learning frameworks.
  • Ensuring seamless integration and output consistency across platforms.
  • Experimenting with cutting-edge detection architectures (YOLO, R-CNN variants, Transformers).
  • Pioneering detection improvements and performance optimizations.
  • Contributing to our research roadmap with innovative detection methodologies.
  • Documenting breakthrough findings and technical recommendations.

Qualifications, Education, and Experience Required:

  • Candidate pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field with hands-on experience in computer vision and PyTorch.
  • Industry work experience is not required, but it would be good to have.

Benefits

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.