ML/AI Engineering Intern — Edge AI, GPUs & Real-World Impact

Qualcomm; New York (NY); On-site; USD 23,000 - 135,000; Full time

Benefits offered by this job

Relocation coverage

Furnished housing accommodations

Competitive hourly pay

Accrued vacation time

Job summary

Qualcomm Technologies, Inc. seeks a Machine Learning / AI Engineering Intern to help build state-of-the-art ML tools for mobile and embedded platforms. You’ll join a multi-disciplinary team of researchers and engineers, collaborating on neural networks, runtimes, and deployment at scale.

Join us for the U.S. 2027 summer intern class, with mentorship, real-world projects, and exposure to SOC compute and ML accelerators. The program offers growth opportunities and cross-team collaboration.

Qualifications

• Enrolled in BS/MS/PhD in CS/EE/CE or related field.
• Available for 11–14 weeks in Summer 2027 (May–Sept).
• Graduation date of Nov 2027 or later.
• 1+ year programming in C, C++, Python.

Responsibilities

• Help build ML/AI engineering solutions for edge devices.
• Collaborate with researchers and software developers on ML tools.
• Work with neural network frameworks and ML hardware accelerators.

Skills

C

C++

Python

Education

Bachelor’s/Master’s/Ph.D. in CS/EE/CE or related field

Tools

TensorFlow

PyTorch

TFLite

LLVM

GCC

CUDA

Kubernetes

MLIR

TVM

XLA

Job description

Qualcomm Technologies, Inc. seeks a Machine Learning / AI Engineering Intern to help build state-of-the-art ML tools for mobile and embedded platforms. You’ll join a multi-disciplinary team of researchers and engineers, collaborating on neural networks, runtimes, and deployment at scale.

Join us for the U.S. 2027 summer intern class, with mentorship, real-world projects, and exposure to SOC compute and ML accelerators. The program offers growth opportunities and cross-team collaboration.