About the role#
As a Modular Engineering Intern, you will contribute to next-generation AI infrastructure and software technologies. You will work within the AI Inference stack, focusing on projects that simplify AI development and deployment. Based on your background and skills, you will be aligned to specific projects such as AI systems, compiler development, GPU kernel engineering, or distributed cloud systems.
What you'll do#
- Optimize AI models for inference workloads.
- Develop high-performance software for GPUs and emerging accelerators.
- Improve compiler and runtime technologies for MAX or Mojo.
- Scale distributed AI systems and develop model-serving platforms.
- Build automated performance and quality frameworks.
- Improve developer tooling and CI/CD systems.
- Work on AI/ML model bring up and performance optimization.
What you'll need#
- Current enrollment in a bachelor’s, master’s, or Ph.D. program in computer science, computer engineering, electrical engineering, mathematics, or a related technical field.
- Availability for 11-14 weeks during Summer 2027.
- Expected graduation date of November 2027 or later.
- At least 1 year of academic or project experience with languages such as Python, C, C++, Rust, or Go.
Location & details#
- This is a full-time, paid, on-site internship.
- Locations include Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle.
- The program includes mentorship, professional development workshops, and social events.
- Relocation coverage and furnished housing are provided.
About Qualcomm
Qualcomm manufactures semiconductors and develops computing technologies. Founded in 1985, the company maintains its headquarters in San Diego. It serves markets including mobile, automotive, and the internet of things. The organization employs more than 10,000 people and operates as a public company.
How to get in at Qualcomm
Applying to Qualcomm early provides a distinct advantage because recruiters review applications before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. This timing ensures your materials are seen while the team is still actively building their shortlist. Reaching out to the right people often yields better results than submitting through a general portal. Intern Insider surfaces the recruiters behind Qualcomm roles so you can contact them directly to ask about the position or a referral. This approach materially improves your response rates compared to waiting in a queue.
