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Internship Edge Computing Jobs in California (NOW HIRING)

Kargo

Software Engineer, Edge

San Francisco, CA

Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing. * Strong problem-solving ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing. * Strong problem-solving ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

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Internship Edge Computing information

What is the difference between Internship Edge Computing vs Internship Cloud Computing?

AspectInternship Edge ComputingInternship Cloud Computing
Required CredentialsBasic knowledge of networking, programming, and hardwareFundamental understanding of cloud platforms and services
Work EnvironmentHands-on with hardware, local networks, and IoT devicesRemote or on-site with cloud service providers and data centers
Industry UsageIoT, autonomous systems, real-time data processingWeb services, SaaS, enterprise applications

Internship Edge Computing focuses on deploying computing resources closer to data sources, involving hardware and real-time processing. In contrast, Internship Cloud Computing emphasizes utilizing remote cloud platforms for scalable data storage and processing. Both roles require foundational IT skills but differ in environment and application focus.

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The most popular types of Edge Computing jobs in California are:

What are popular job titles related to Internship Edge Computing jobs in California?

For Internship Edge Computing jobs in California, the most frequently searched job titles are:

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The top searched job categories for Internship Edge Computing jobs in California are:

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Cities in California with the most Internship Edge Computing job openings:

Internship Edge Computing jobs near you
Infographic showing various Internship Edge Computing job openings in California as of August 2026, with employment types broken down into 1% Internship, 73% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Software Engineer, Edge

San Francisco, CA

Kargo
See more jobs at Kargoexternal

Full-time

Re-posted 11 days ago

Job description

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics.  Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.

We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow's hardware & software solutions and help revolutionize logistics.

Responsibilities

  • Develop high-performance C++ software for machine vision and AI systems running on edge devices.
  • Build and improve computer vision features using 3D perception and AI technologies.
  • Help develop agentic AI systems to deploy, monitor, and manage a growing fleet of edge devices.
  • Collaborate with senior engineers to improve the reliability, performance, and scalability of our edge platform.
  • Troubleshoot, test, and optimize software running in real-world environments.

Experience

  • 1 to 2 years of professional, internship, or research experience in software engineering.
  • Strong programming skills in C++ and python.
  • Familiarity with Linux development environments.
  • Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing.
  • Strong problem-solving skills and eagerness to learn new technologies.
  • Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.

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