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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 are popular job titles related to Edge Computing Intern jobs in California? For Edge Computing Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Edge Computing Intern jobs in California look for? The top searched job categories for Edge Computing Intern 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:
Edge Computing Intern jobs near you
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.
Embedded Firmware Engineer Intern

Embedded Firmware Engineer Intern

SK hynix memory solutions America Inc.

San Jose, CA

$35 - $45/hr

Other

Posted 19 days ago

Job description

About the Company:

At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

About the Role: 

We are looking for a motivated Embedded Firmware Intern to join our SSD Controller Firmware team. You will work alongside experienced engineers to develop, test, and optimize low-level firmware for next-generation solid-state drive (SSD) controllers. This is a hands-on opportunity to gain deep knowledge of storage protocols, NAND flash management, and real-time embedded systems.

Responsibilities:

  • Develop and maintain embedded C/C++ firmware for SSD controller subsystems (e.g., host interface, flash translation layer, error handling).
  • Write unit tests and participate in code reviews to ensure code quality and reliability.
  • AI-assisted software development and documentation.
  • Debug firmware issues using JTAG and logic analyzers.
  • Assist in performance analysis and optimization of data paths (latency, throughput, power).
  • Collaborate with hardware, validation, and system teams to integrate firmware with silicon.

Minimum Qualifications: 

  • Currently pursuing a B.S. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • Understand architecture of microprocessor and principle of embedded programming.
  • Strong programming skills in C (embedded C is a plus). Familiarity with C++ or Python for scripting/tools.
  • Good problem-solving and communication skills; ability to work in a team.
  • Self-motivated, good team player, agile and quick learner.

Preferred Qualifications: 

  • No AI generated resume.
  • Must be close to graduate or graduate from school.
  • Know your patient about carrier path with offering and retaining.
  • Know difference between firmware and software Engineer.
  • Be sure ready to answer the questions about your qualifications and capability.

COMPENSATION: $35/hr - $45/hr

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