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Internship Application Jobs in California (NOW HIRING)

CAIR

College Internship

Santa Clara, CA

Internship Term Internship Dates Application Deadlines Winter/Spring Internship In Session2027 Dates TBD Summer Internship June 17, 2026 - August 21, 2026 June 3, 2026 Fall Internship September 9, ...

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Internship Application information

What is an internship application?

An internship application is a formal process by which students or recent graduates apply for temporary work opportunities at companies or organizations to gain practical experience in their field of interest. The application typically involves submitting a resume, cover letter, and sometimes additional materials like transcripts or references. Internships can be paid or unpaid and often serve as a stepping stone to full-time employment. The process may also include interviews and assessments to evaluate candidates' skills and fit for the role.

What can I expect from the mentorship and feedback process during an internship?

Interns typically receive regular guidance and feedback from a dedicated supervisor or mentor. You can expect structured check-ins, performance reviews, and opportunities to ask questions as you learn new skills. Many organizations pair interns with experienced team members who provide support, help set goals, and offer constructive feedback to encourage professional growth. This supportive environment is designed to help interns gain hands-on experience and develop workplace confidence.

What is the difference between Internship Application vs Data Analyst?

AspectInternship ApplicationData Analyst
Required CredentialsHigh school diploma or ongoing college courseworkBachelor's degree in data science, statistics, or related field
Work EnvironmentTemporary, entry-level, learning-focusedFull-time, professional setting, analytical tasks
Employer & Industry UsageInternships offered by companies across industries for trainingData-driven roles in finance, marketing, tech, etc.
Search & Comparison IntentApplying for entry-level training positionsSeeking professional data analysis roles

The main difference between an Internship Application and a Data Analyst role is that the internship is a temporary, entry-level opportunity designed for learning and gaining experience, often requiring minimal credentials. In contrast, a Data Analyst position is a full-time professional role requiring specific education and skills, focused on analyzing data to support business decisions.

What are the key skills and qualifications needed to thrive when applying for an internship, and why are they important?

To succeed in an internship application, you typically need a relevant educational background, a strong academic record, and a demonstrated interest in the field. Familiarity with productivity tools like Microsoft Office, Google Workspace, or industry-specific software is often expected. Strong communication, adaptability, and a willingness to learn help candidates stand out during the selection process. These skills and qualities are important because they show potential employers that you can contribute effectively and grow within their organization.

What are the most commonly searched types of Application jobs in California?

The most popular types of Application jobs in California are:

What cities in California are hiring for Internship Application jobs?

Cities in California with the most Internship Application job openings:

Internship Application jobs near you
Infographic showing various Internship Application job openings in California as of August 2026, with employment types broken down into 68% Full Time, 25% Part Time, 2% Temporary, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Palette Neat Application Development, Intern (AI2520)

SiMa Technologies

San Jose, CA • On-site

$36 - $40/hr

Temporary

Re-posted 12 days ago

Job description

Description
Job Title: Palette Neat Application Development, Intern
Job Location: San Jose, CA (Onsite)
Job ID: AI2520
Internship Term: Internship Term: Preferably starting in early July 2026 through end of August 2026.
Internship Stipend: The hourly pay rate range for this position is $36 - $46
ONSITE: This role requires the Intern to work from our San Jose, California office during the duration of the Internship.
At SiMa.ai, we are building the infrastructure that powers the next generation of Physical AI. Our platform, SiMa Modalix, enables developers and enterprises to deploy AI applications efficiently across robotics, drones, industrial automation, and intelligent edge systems.
We are looking for highly motivated students or recent graduates who are passionate about Physical AI, edge application development, AI pipelines, and developer tools.
Role Overview: As a Palette Neat Application Development Intern, you will work hands-on with SiMa.ai's Palette and Neat software stack to build real-world Physical AI applications targeting the SiMa Modalix platform. You will help create, validate, and optimize end-to-end AI applications that combine video, sensors, machine learning models, and multi-processor execution.
This role is ideal for candidates who enjoy building practical AI applications, working close to hardware, and turning models into deployable edge solutions.
You will:
  • Develop end-to-end Physical AI applications using Palette Neat, including video analytics, robotics, industrial inspection, and intelligent camera pipelines.
  • Build application examples that combine AI models, pre-processing, post-processing, media pipelines, and deployment workflows.
  • Work with Python, C++, GStreamer, and SiMa.ai tools to prototype and validate real-time AI applications on Modalix hardware.
  • Integrate neural network models into application pipelines and evaluate performance, latency, throughput, and correctness on edge devices.
  • Help create reference applications, demos, and developer-facing examples that show how customers can use Palette Neat effectively.
  • Debug application issues related to model integration, data formats, memory movement, runtime execution, and edge performance.
  • Work closely with Product and Engineering teams to improve developer experience, API usability, documentation, and application workflows.

Required Qualifications:
  • Recently graduated or nearing graduation, such as a rising senior, with a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong programming skills in Python.
  • Familiarity with C++ and Linux development environments.
  • Basic understanding of machine learning models, computer vision, and AI application pipelines.
  • Strong debugging and problem-solving skills.
  • Excellent written and verbal communication skills.

Recommended / Preferred Qualifications:
  • Experience with OpenCV, GStreamer, or video processing pipelines.
  • Experience with PyTorch, ONNX, TensorFlow, or similar AI frameworks.
  • Hands-on exposure to embedded systems, robotics, cameras, or edge AI platforms.
  • Familiarity with Docker, Git, CI/CD workflows, or Linux command-line tools.
  • Interest in Physical AI, real-time AI applications, and developer-facing tools.

Personal Attributes:
  • Positive, can-do attitude with a willingness to learn.
  • Strong team player who collaborates effectively across functions.
  • Curious, creative, and passionate about solving complex problems.
  • Self-driven, execution-focused, and highly accountable.
  • Results-oriented with strong communication and interpersonal skills.

Equal Employment Opportunity:
SiMa.ai 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 characteristic under applicable law.

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