Senior Edge AI Engineer - On-Device ML & GenAI

Qualcomm; San Diego (CA); On-site; USD 140,800 - 211,200; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Annual RSU grants

Comprehensive benefits package

Job summary

Qualcomm is seeking a Machine Learning Engineer to architect and develop cutting-edge AI software prototypes in San Diego. This role involves collaboration with a multidisciplinary team using innovative AI frameworks, where strong programming skills in Python and C/C++ are essential.

The ideal candidate will have a Bachelor's degree or higher in Computer Science or a related field and at least 3 years of relevant experience. The compensation package includes a competitive pay range of $140,800 – $211,200, discretionary bonuses, and a comprehensive benefits package.

Qualifications

• At least 3 years of work experience in a relevant field.
• Strong software design skills with a focus on usability.

Responsibilities

• Architect, design, develop, test, and deploy AI software prototypes.
• Collaborate with multidisciplinary teams using AI frameworks.

Skills

Strong Python and C/C++ design skills

Knowledge of deep learning and ML frameworks (e.g., PyTorch)

Strong analytical, debugging and problem‑solving skills

Experience in Embedded Software development

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in Computer Science or related field

Tools

Python

C/C++

Docker

Git

Job description

Qualcomm is seeking a Machine Learning Engineer to architect and develop cutting-edge AI software prototypes in San Diego. This role involves collaboration with a multidisciplinary team using innovative AI frameworks, where strong programming skills in Python and C/C++ are essential.

The ideal candidate will have a Bachelor's degree or higher in Computer Science or a related field and at least 3 years of relevant experience. The compensation package includes a competitive pay range of $140,800 – $211,200, discretionary bonuses, and a comprehensive benefits package.