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Edge Computing Intern Jobs in California (NOW HIRING)

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... computing and distributed systems Analytical mindset with strong problem-solving capabilities ...

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... computing and distributed systems Analytical mindset with strong problem-solving capabilities ...

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... cloud computing and distributed systems โ€ข Analytical mindset with strong problem-solving ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum computing from a theoretical concept to a real-world technology. As an intern you will work with our ...

Design and implement computational approaches to advance cutting-edge research in bioinformatics ... Strong programming skills in Python and familiarity with scientific computing libraries (e.g ...

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Edge Computing Intern information

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

To thrive as an Edge Computing Intern, you need a solid understanding of computer science fundamentals, networking concepts, and distributed systems, often backed by coursework in software development or related technical fields. Familiarity with technologies such as Docker, Kubernetes, IoT protocols, and programming languages like Python or C++ is highly valued, as are certifications related to cloud or edge computing. Strong problem-solving skills, effective communication, and the ability to learn quickly in dynamic environments are key soft skills for this internship. These competencies enable interns to contribute meaningfully to innovative projects and adapt to the rapid advancements common in edge computing roles.

What does an Edge Computing Intern do?

An Edge Computing Intern assists in developing, testing, and optimizing edge computing solutions that process data closer to the source rather than relying on centralized cloud systems. They may work on tasks such as deploying edge devices, optimizing real-time data processing, and improving network efficiency. Responsibilities often include writing code, troubleshooting hardware and software issues, and collaborating with teams on innovative edge computing projects. This role provides hands-on experience with distributed computing, IoT, and low-latency data processing technologies.

What types of projects and responsibilities can I expect as an Edge Computing Intern?

As an Edge Computing Intern, you'll typically work on projects involving the development, deployment, and maintenance of distributed applications at the edge of networks, such as optimizing algorithms for real-time processing or integrating sensors with edge devices. Your duties might include coding, testing, troubleshooting, and supporting proof-of-concept solutions alongside experienced engineers. You'll often collaborate with hardware teams, cloud engineers, and data scientists, gaining exposure to cross-disciplinary workflows. These hands-on experiences are excellent opportunities to build practical skills in a high-growth field and can lead to potential full-time roles or advanced internships within the organization.

What are the most commonly searched types of Edge Computing jobs in California? The most popular types of Edge Computing jobs in California are:
What cities in California are hiring for Edge Computing Intern jobs? Cities in California with the most Edge Computing Intern job openings:
Infographic showing various Edge Computing Intern job openings in California as of June 2026, with employment types broken down into 71% Internship, and 29% Full Time. Highlights an 100% In-person job distribution.
Data Engineering Intern

Data Engineering Intern

Qeexo, Co.

San Clemente, CA โ€ข On-site

$25/hr

Other

Posted 10 days ago


Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across

industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.

ย The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based

equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data

pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.

This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.

KEY RESPONSIBILITIES

Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data

Develop data workflows and automation using Python, SQL, and AWS servicesย 

Support data ingestion, transformation, validation, and monitoring processesย 

Work with structured and semi-structured data from cloud and edge-based systemsย 

Collaborate with software and ML engineers to prepare datasets for analytics and machine learning modelsย 

Assist with integration and optimization of OLTP and OLAP systemsย 

Troubleshoot pipeline issues and contribute to improvements in data reliability and performance

ADDITIONAL RESPONSIBILITIES

Create and maintain documentation, including data flows, system diagrams, and technical specificationsย 

Participate in code reviews and adhere to engineering best practicesย 

Support initiatives to improve data quality, observability, and operational efficiencyย 

Contribute to continuous improvement of data infrastructure and workflows

ย 

Other Duties:

Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.

Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.

Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes.ย 

Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

QUALIFICATIONS

Education/Experience:ย 

ย Currently pursuing a Bachelor's or Master's degree in:ย 

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQLย 

Exposure to data pipelines, ETL/ELT processes, or data warehousing conceptsย 

Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift)ย 

Exposure to cloud platforms, preferably AWSย 

ย Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentalsย 

Basic understanding of data engineering concepts, including pipelines, transformation, and storageย 

Familiarity with cloud computing and distributed systemsย 

Analytical mindset with strong problem-solving capabilitiesย 

Ability to quickly learn new tools, technologies, and frameworksย 

Strong attention to detail and commitment to data accuracy and qualityย 

Effective communication skills, both written and verbalย 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

ย  Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with AWS services such as S3, Lambda, Glue, or Redshift

Exposure to Docker, Linux, or shell scripting

Understanding of OLTP vs. OLAP systems

Experience with data lakes, data warehousing, or analytics platforms

Interest in machine learning and data-driven systems

Experience with Git or version control systems


Qeexo logo

About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012