Hardware (CPU, GPU, SoC, Digital Design, DV) Engineering Internship – Summer 2027

Qualcomm; Tempe (AZ); On-site; USD 28,000 - 36,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a Hardware Engineering Intern to work across several multidisciplinary teams including GPU, CPU, and SoC Systems. You will apply your electrical or computer engineering background to evolving architectures, verification, and pre-silicon activities.

You will gain hands-on experience in RTL, modeling, timing, and power analyses while collaborating with mentor-guided projects across our Interns Group. This U.S.

Qualifications

• Electrical and/or computer engineering degree field or active pursuit of one.
• Interest in hardware engineering with exposure to ASIC/SoC concepts is desirable.
• Strong programming fundamentals in C/C++, Python, and hardware description languages.

Responsibilities

• Participate in multiple technical tracks: GPU Eng, CPU Eng, DV, SoC Systems.
• Assist in design, verification, and validation tasks across frontend, back-end, and PNR flows.
• Collaborate with cross-disciplinary teams to learn and apply hardware engineering principles.
• Contribute to tooling, simulations, and performance analysis activities.

Skills

C

C++

Verilog

SystemVerilog

Python

Perl

GPU programming

Tools

Vulkan

Job description

• GPU Engineering
• CPU Engineering
• SoC Systems Engineering

Company

Qualcomm Technologies, Inc.

Job Area

Interns Group, Interns Group > Interim Engineering Intern - HW

About Qualcomm

Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our nearly 40-year history of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity. We’re proud to be the partner of choice to many of the world’s largest enterprises. Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human progress.

Join Us in Shaping the Future

At Qualcomm, we're committed to engineering human progress by delivering intelligent computing everywhere. We're passionate about harnessing the power of technology to transform industries and improve lives. Our early career programs offer limitless opportunities for growth, mentorship, and meaningful work. By joining our team, you'll be part of a community that's pushing the boundaries of what's possible in AI, computing, and connectivity. With a global footprint spanning over 30 countries, you'll have the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology. Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values collaboration, creativity, and continuous learning. Our programs provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our U.S. 2027 summer intern class!

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Role Overview

As a Qualcomm Hardware Engineering Intern, you’ll have the opportunity to push the boundaries of what exists and help establish the new standards for tomorrow. You will leverage your electrical and/or computer engineering degree to work on one of the following Qualcomm multi-disciplinary teams: System (architecture, modeling, power, thermal, silicon profiling), Front-end Design (micro-architecture, modeling, RTL), Implementation (synthesis & timing constraints), Design-for-Test (DFT), Physical Design (place & route, CTS, timing closure), Pre-silicon Verification (DV), Emulation, Post-silicon Validation (VI), CAD, and GPU Design.

This Internship Supports Multiple Technical Tracks, Including

• GPU Engineering
• CPU Engineering
• Digital Design / DV
• SoC Systems Engineering

Track 1: GPU Engineering

• Engineering design and development in MSM SOC and chipset architecture
• ASIC implementation of image processing camera IP
• GPU pipeline validation (stimulus generators, checkers, monitors, drivers, models)
• Graphics power analysis & optimization (Vulkan)
• Familiarity with multimedia or communication technologies including audio/video codecs, camera, WLAN, LTE, and 5G
• Programming experience in C, Perl, Verilog, SystemVerilog, C++, Python

Track 2: CPU Engineering

• Validation of CPU and SOC-level micro-architecture concepts
• Development of test and coverage plans, verification methodology, and scalable environments
• Execution of verification plans including regression,