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Accessibility Testing Internship Jobs in California

Accessibility Engineering brings Bee to communities who stand to benefit most from ambient AI ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Senior Flight Software Engineer

Vista, CA · On-site

$140K - $178K/yr

Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand ... These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.

... accessibility standards and best practices. * Conduct quality assurance testing to ensure ... Must be classified as a Junior or Senior for Internship. Volunteers may be graduates or active ...

... accessibility standards and best practices. * Conduct quality assurance testing to ensure ... Must be classified as a Junior or Senior for Internship. Volunteers may be graduates or active ...

Showing results 41-60

Accessibility Testing Internship information

What is the difference between Accessibility Testing Internship vs Accessibility Tester?

AspectAccessibility Testing InternshipAccessibility Tester
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience in accessibility testing
Work EnvironmentInternship setting, learning-focusedProfessional environment, project-based
Industry UsageEntry-level role for trainingFull-time or contract role for ongoing testing
Search IntentLearning about entry-level accessibility rolesSeeking experienced accessibility testing professionals

In summary, an Accessibility Testing Internship is an entry-level, learning-focused position for those starting in accessibility testing, often held by students or recent graduates. An Accessibility Tester is a more experienced professional responsible for conducting accessibility evaluations in a work setting. Both roles are essential in the industry but differ mainly in experience level and responsibilities.

What are the key skills and qualifications needed to thrive as an accessibility testing intern, and why are they important?

To thrive as an Accessibility Testing Intern, you need a foundational understanding of web accessibility standards (such as WCAG), basic knowledge of HTML/CSS, and a keen attention to detail, often supported by coursework or relevant certifications. Familiarity with tools like screen readers (e.g., JAWS, NVDA), browser accessibility extensions, and automated testing platforms is typically required. Strong communication, analytical thinking, and a genuine interest in inclusive design make candidates stand out in this role. These skills are crucial for identifying accessibility barriers, effectively communicating issues, and ensuring digital products are usable by people of all abilities.

What are some typical projects or tasks an accessibility testing intern might work on during their internship?

As an Accessibility Testing Intern, you will typically assist in evaluating websites, applications, or digital content for compliance with accessibility standards such as WCAG and Section 508. Your tasks may include running automated accessibility tests, performing manual checks with assistive technologies (like screen readers), and documenting findings for the development team. You may also participate in team meetings to learn about remediation strategies and collaborate closely with developers and designers to suggest improvements. These experiences are valuable in building a practical understanding of accessibility challenges and solutions in digital environments.

What is an accessibility testing internship?

An Accessibility Testing Internship is a temporary position, typically for students or recent graduates, that focuses on evaluating digital products—such as websites and mobile apps—for accessibility. The goal is to ensure these products are usable by people with disabilities, following standards like the Web Content Accessibility Guidelines (WCAG). Interns learn how to use assistive technologies, identify accessibility barriers, and recommend improvements. This role helps organizations create more inclusive digital experiences and gives interns valuable skills in web development and usability testing.
What are the most commonly searched types of Accessibility Testing jobs in California? The most popular types of Accessibility Testing jobs in California are:
What cities in California are hiring for Accessibility Testing Internship jobs? Cities in California with the most Accessibility Testing Internship job openings:

Entry level & Senior Software Engineer, Core AI Software (Onsite)

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 27 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position, you will be responsible for assisting with the software design and development of the Qualcomm AI Stack features within Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie). You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm's low-power AI accelerators.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Responsibilities
  • Develop software for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms.

  • Design and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

  • Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.

  • Debug complex issues, perform root cause analysis, and ensure high system reliability

  • Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.

  • Assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.

  • Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

  • Participate in design and code reviews.

  • Work independently with minimal supervision.

Minimum Qualifications (Must Have)
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

  • Projects or Internships experience (Entry level) / 2+ years (Senior) of general software development experience.

  • Proficiency in software development using C/C++.

  • Experience with development in a Linux environment.

  • Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.

  • Excellent communication skills (verbal, presentation, and writing).

Preferred Qualifications (Desired)
  • Master's degree in Computer Science, Computer Engineering, or Electrical Engineering.

  • 1+ years of experience building embedded software applications.

  • Familiarity with various generative AI model architectures such as LLMs.

  • Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge.

  • Experience with development in various platforms such as Linux, Android, or Windows.

  • Knowledge of low-level interactions between operating systems (e.g., Linux, Android, Windows) and hardware.

  • Experience with CMake-based build environments.

  • Experience using/integrating Qualcomm AI Stack products (e.g. QNN, Genie).

  • Experience with agile software development practices and git-based SCM.

  • Ability to collaborate across a globally diverse team and manage multiple interests.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985