Machine Learning Engineer - College Graduate
Android
Artificial Intelligence
Data & Ai
Deep Learning
Edge Inference
Embedded Software
Embedded Systems
Engineering
Hardware Acceleration
Hardware Engineering
Hardware Software Co Design
Machine Learning
Machine Learning Engineer
Mobile
Mobile Development
Model Optimization
Model Quantization
Npus
Programming
PyTorch
Software Engineering
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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