Hardware Acceleration Engineer Jobs

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Machine Learning Engineer - College Graduate

Qualcomm San Diego, CA

San Diego, CA

Today

$123k - $184k/yr Full time Android Artificial Intelligence Data & Ai

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Job Description

Qualcomm’s AI Research team is looking for a Machine Learning Engineer - College Graduate to help advance Generative AI technology for on-device use. This role centers on building prototype software that brings cutting-edge AI capabilities to the edge, working within a multidisciplinary group of researchers and software engineers.

The position is based in San Diego, CA with an onsite work arrangement, and the target annual compensation range is USD 122,800 - 184,200.

Role Summary

You will be responsible for the full lifecycle of on-device prototype development, including architecture, implementation, validation, and deployment. Your work will support AI use cases that require efficient inference on constrained hardware environments.

Responsibilities

Collaborate in a dynamic research environment as part of a multi-disciplinary team using cutting-edge AI frameworks and tools.
Architect, design, develop, test, and deploy on-device prototype software for advanced AI use cases.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Strong Python skills and object-oriented software design and implementation experience.
Knowledge of deep learning and machine learning frameworks, such as PyTorch.
Strong software design skills with a focus on usability.
Strong analytical, debugging, and problem-solving abilities.

Technologies

Python
Object-oriented software design
PyTorch
Generative AI (GenAI)
Neural network model optimization
Model quantization
On-target deployment
NPUs / ML accelerators
Android programming
C/C++
Embedded software
Hardware acceleration
Edge inference
Algebraic operations optimization for HW cores

Preferred Extra Experience and Skills

Knowledge of Generative AI (GenAI) technologies.
Knowledge of neural network model optimization and on-target deployment (plus).
Knowledge of NPUs / ML accelerators.
Knowledge of Android programming (plus).
Optimization of algebraic operations in algorithms for HW cores (plus).
Knowledge of C/C++ and embedded software.

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

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