Hardware Acceleration Developer 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

This role supports Qualcomm AI Research by helping advance generative AI technology designed to run on the edge. You will contribute within a multi-disciplinary team, where the work spans architecture, development, testing, and deployment of on-device AI prototypes.

Role Overview

As a Machine Learning Engineer, you will focus on creating and validating prototype software for cutting-edge AI use cases on-device. The work is conducted in a dynamic research environment alongside researchers and software engineers using modern AI frameworks and tools.

Responsibilities

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

Required Qualifications

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

Technology Focus

Python and object-oriented software design
PyTorch and Generative AI (GenAI)
Neural network model optimization and model quantization
On-target deployment and edge inference
NPUs / ML accelerators and hardware acceleration
Android programming
C/C++ and embedded software
Algebraic operations optimization for hardware cores

Preferred Qualifications

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 hardware cores (plus).
Knowledge of C/C++ and embedded software.

Compensation and Location

Location: San Diego, CA (onsite)
Salary: USD 122,800 - 184,200 per year

Benefits

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

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