FY27 Intern - Applied AI Engineering Intern (Hardware Systems)

Job Title

Applied AI Engineering Intern (Hardware Systems) - FY27 (16-month)

Role Summary

Intern on a hardware systems engineering team in Markham working on AI-assisted RTL generation, analysis, verification automation, and intelligent engineering workflows.

The role contributes to projects that apply LLMs, ML, and agent-based automation to hardware design, verification, and developer productivity tools.

Experience Level

Internship / Entry-level. Intended for current undergraduate or master's students. This posting is for a 16-month internship (availability May/June 2027 through August/September 2028). No specific professional years of experience required.

Responsibilities

Typical responsibilities include hands-on development and collaboration on AI-enabled tooling for hardware design and verification:

• Develop AI agents and intelligent workflows for hardware design and verification.
• Work with LLMs, AI agents, retrieval-augmented generation (RAG), and ML models for coding and analysis tasks.
• Apply LLMs to RTL/SystemVerilog generation, analysis, debugging, and code understanding.
• Build automation flows spanning C/C++, SystemC, and RTL development.
• Create and evaluate benchmark datasets for hardware-focused AI applications.
• Collaborate with architecture, design, and verification teams on engineering problems.

Requirements

Must-have technical skills and personal attributes:

• Strong programming ability in Python and/or C/C++.
• Understanding of digital design, computer architecture, or hardware systems.
• Familiarity with Linux-based development environments.
• Interest in AI, machine learning, and large language models.
• Self-motivated, creative, and able to tackle challenging technical problems.

Preferred (nice-to-have):

• Experience with Verilog/SystemVerilog, RTL, FPGA design, or hardware verification.
• Familiarity with Git, scripting, and software development best practices.

Education Requirements

Pursuing a bachelor’s or master’s degree (BS/MS) in Electrical Engineering, Computer Engineering, Computer Science, Engineering Science, Engineering Physics, or a related technical field. Internship specific requirements: 16-month interns must be available May/June 2027 through August/September 2028 and have an expected graduation date of November 2028 or later.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.