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Edge Computing Intern Jobs in Austin, TX (NOW HIRING)

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Edge Computing Intern information

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$8

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$24

How much do edge computing intern jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for edge computing intern in Austin, TX is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

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.

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Edge Computing Intern jobs near you
Infographic showing various Edge Computing Intern job openings in Austin, TX as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $35,124 per year, or $16.9 per hour.

Physical Design Intern - CPU/AI Hardware

Tenstorrent University Jobs

Austin, TX • On-site

$50/hr

Internship

Re-posted 11 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Join a team shaping the performance of next-gen CPUs and AI/ML chips. As a Physical Design Intern, you'll work hands-on from synthesis through tapeout, collaborating with top engineers to optimize some of the most advanced silicon in the world.
This role is onsite, based out of Austin, TX or Santa Clara, CA.
Who You Are
  • Currently pursuing a BS, MS, or PhD in EE, ECE, CE, or CS
  • Solid understanding of logic design, VLSI, and transistor-level concepts
  • Familiar with PnR tools, timing analysis, and power optimization techniques
  • Comfortable scripting in Tcl, Perl, Shell, or Python

What We Need
  • Support key physical design tasks-synthesis, floorplanning, PnR, clocking, timing closure
  • Analyze and improve design PPA (Power, Performance, Area)
  • Collaborate with front-end, PD, and architecture teams to influence early design decisions
  • Explore and implement new flows, tools, or RTL experiments to optimize designs

What You Will Learn
  • End-to-end physical design flow-from RTL handoff to final tapeout
  • Deep dive into timing, power, EM/IR, and area trade-offs
  • Industry-standard tools and techniques for modern chip development
  • How top-tier silicon teams operate at scale

Compensation for all engineers at Tenstorrent ranges from $50/hr - 70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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