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About the Role

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 Qualcomm's multi-disciplinary teams, supporting technical tracks including GPU Engineering, CPU Engineering, Digital Design/DV, and SoC Systems Engineering.

Responsibilities

Leverage electrical and/or computer engineering degree to work on multi-disciplinary teams.
Support technical tracks including GPU Engineering, CPU Engineering, Digital Design/DV, and SoC Systems Engineering.
Engineering design and development in MSM SOC and chipset architecture (GPU Engineering).
ASIC implementation of image processing camera IP (GPU Engineering).
GPU pipeline validation (stimulus generators, checkers, monitors, drivers, models) (GPU Engineering).
Graphics power analysis & optimization (Vulkan) (GPU Engineering).
Validation of CPU and SOC-level micro-architecture concepts (CPU Engineering).
Development of test and coverage plans, verification methodology, and scalable environments (CPU Engineering).
Execution of verification plans including regression, debug, and bring-up (CPU Engineering).
RTL development for modem physical and MAC layer processing (Digital Design / DV).
Verification component development using SystemVerilog and UVM (Digital Design / DV).
Modeling cellular modem datapaths for bit-exact correctness (Digital Design / DV).
Concepts in computer architecture (CPU, GPU, DSP, interconnects, MMUs, etc.) (SoC Systems Engineering).
System-level performance modeling and simulation (SoC Systems Engineering).
Power and thermal management strategies (SoC Systems Engineering).
Post-silicon validation and characterization (SoC Systems Engineering).
Embedded software design, driver development for Linux/Windows (SoC Systems Engineering).
OS principles and HW/SW interaction (SoC Systems Engineering).
Experience supporting or optimizing machine learning workloads on embedded systems or accelerators (SoC Systems Engineering).
Understanding of power/performance tradeoffs and system-level architecture (SoC Systems Engineering).

Requirements

Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.
Must be available for 11–14 weeks during Summer 2027 (May–September).
Expected graduation date of November 2027 or later.
1+ years of academic experience with programming languages such as C, C++, Python, Perl, Verilog, SystemVerilog.
Candidates actively pursuing a degree with an anticipated graduation between November 2027 and June 2028 (Preferred).
Currently enrolled in a Master’s or PhD degree program in computer engineering, electrical engineering, or a related field (Preferred).
Familiarity with multimedia or communication technologies including audio/video codecs, camera, WLAN, LTE, and 5G (GPU Engineering).
Familiarity with simulators, coverage tools, waveform viewers (CPU Engineering).
Knowledge of digital design, DSP, wireless communication, LTE, 5G, Wi-Fi (Digital Design / DV).
Exposure to machine learning concepts as applied to digital signal processing or modem architecture is a plus (Digital Design / DV).
Programming experience in C/C++, Python; scripting and profiling tools (SoC Systems Engineering).

Skills

C
C++
Python
Perl
Verilog
SystemVerilog
GPU Engineering
CPU Engineering
Digital Design / DV
SoC Systems Engineering
MSM SOC
Chipset architecture
Image processing camera IP
GPU pipeline validation
Graphics power analysis
Vulkan
CPU validation
SOC-level micro-architecture
Test and coverage plans
Verification methodology
Scalable environments
Regression
Debug
Bring-up
Simulators
Coverage tools
Waveform viewers
RTL development
Modem physical layer processing
Modem MAC layer processing
Verification component development
UVM
Cellular modem datapaths
Digital design
DSP
Wireless communication
LTE
5G
Wi-Fi
Machine learning concepts
Computer architecture
System-level performance modeling
System-level simulation
Power management strategies
Thermal management strategies
Post-silicon validation
Characterization
Embedded software design
Driver development
Linux
Windows
OS principles
HW/SW interaction
Machine learning workloads
Embedded systems
Accelerators
Power/performance tradeoffs
System-level architecture
Scripting tools
Profiling tools
Audio/video codecs
Camera
WLAN
Matlab

Location

Austin
Boulder
Boxborough
Bridgewater
Chandler
Irvine
New York City
Louisville
Raleigh
San Diego
Santa Clara
Seattle

Work Type

Internship

Experience Level

Intern
1+ years of academic experience

Education Level

Bachelor’s degree program
Master’s degree program
Ph.D. degree program

Salary/Compensations

$17.00 - $98.00

Benefits

Competitive hourly pay
Accrued vacation time
Relocation coverage
Furnished housing accommodations
Professional development workshops
Social events
Cross-functional speaker sessions
Executive speaker series
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

About the Company

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.
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!

Equal Opportunity

Qualcomm is an equal opportunity employer.
If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.