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Python Developer Intern Jobs in Santa Clara, CA (NOW HIRING)

Advantest America

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system ... Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python ...

Maxima

Software Engineer - Intern

San Mateo, CA · On-site

Software Engineering Intern As a Software Engineering Intern at Maxima, you will work directly with ... Experience with at least one modern programming language such as Go, Python, TypeScript, or Java.

Advantest

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system ... Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python ...

TenEx

Software Engineer Intern

San Jose, CA · On-site

Full Stack Engineer Intern TENEX is an AI-native, automation-first, built-for-scale Managed ... Experience with at least one backend programming language such as Go, Python, or an equivalent.

BillionToOne

Process Engineering Intern

Union City, CA · On-site

$25/hr

We seek a Process Engineering Intern whose academic interests span molecular diagnostics, process ... using tools like Python or R. * A driven, creative, and passionate mindset, with a strong ...

SAP

SAP iXp Intern - AI Engineer

Palo Alto, CA

Three reasons to intern at SAP * Culture of collaboration: meet with mentors, make new friends ... Programming: Comfortable with Python; familiarity with JavaScript/TypeScript and basic frontend ...

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How much do python developer intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for python developer intern in Santa Clara, CA is $26.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $28.51 per hour, depending on experience, location, and employer.

What is a Python Developer Intern job?

A Python Developer Intern is an entry-level role where interns assist in developing, testing, and maintaining software applications using Python. They work under the guidance of senior developers to write clean and efficient code, debug issues, and collaborate with teams on various projects. Interns may also gain experience with frameworks like Django or Flask, databases, and APIs. This role helps build hands-on programming skills and provides valuable industry experience for future opportunities.

What are the key skills and qualifications needed to thrive in the Python Developer Intern position, and why are they important?

To thrive as a Python Developer Intern, you need a solid understanding of Python programming, problem-solving abilities, and foundational knowledge of computer science principles, often backed by coursework or personal projects. Familiarity with version control systems like Git, basic databases, and frameworks such as Flask or Django can be advantageous, though formal certifications are not always required. Effective collaboration, strong communication, and a willingness to learn help interns stand out in dynamic development teams. These skills are essential for quickly adapting to real-world projects, contributing meaningfully, and developing as a professional in a fast-paced tech environment.

What types of projects or tasks can I expect to work on as a Python Developer Intern?

As a Python Developer Intern, you may work on a variety of tasks ranging from writing and testing code to debugging existing applications and developing new features under the supervision of senior developers. You could be involved in supporting ongoing software development projects, automating routine processes, or contributing to data analysis efforts, depending on the team's focus. Interns often collaborate with mentors and other team members through code reviews, stand-up meetings, and paired programming sessions. This hands-on experience provides valuable exposure to industry best practices and helps build a strong foundation for future advancement within software development roles.
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Python Developer Intern jobs near you
Infographic showing various Python Developer Intern job openings in Santa Clara, CA as of May 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $55,928 per year, or $26.9 per hour.

Thermal Engineering R&D Intern

Advantest America

San Jose, CA • On-site

$19.75 - $25.50/hr

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Description:

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system for thermal monitoring, prediction, and anomaly detection during semi-conductor tests. The intern will focus primarily on machine learning model development and evaluation, data analysis, model experimentation, and software implementation, working with thermal system telemetry data to identify optimal modeling approaches.

Responsibilities

  • Model Development & Prototyping: Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python frameworks like TensorFlow, PyTorch, or Scikit-learn to improve thermal monitoring and prediction.
  • Data Engineering & Pipeline Support: Build and automate data pipelines, including preprocessing, feature engineering, and labeling of thermal telemetry data for model training.
  • Validation & Benchmarking: Conduct simulation-based validation and performance benchmarking to compare algorithms, ensuring model accuracy against real-world measured system behavior.
  • Telemetry Analysis & Visualization: Analyze and visualize large datasets to identify patterns and performance anomalies, helping refine predictive capabilities.
  • Hardware & Systems Integration: Collaborate with cross-functional engineering teams to acquire system logs, configure test setups, and integrate ML models into the broader software architecture.
  • Documentation & Reporting: Maintain clear documentation of model assumptions, training methodologies, and results to support future model selection and deployment.

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