Develop optimized model architectures and training strategies for deployment of deep learning at the edge, incorporating the latest advances from literature such as transformers, attention, VLA/VLM, and world models.
Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.
Collaborate closely with cross‑functional teams (hardware, software, systems, and product) to ensure new algorithms meet customer requirements. Develop meaningful supervised and non-reference quality metrics to assess model performance for different use cases.
Own the training and development of new release models for important customer segments.
Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.
Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams.
Minimum Qualifications
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer or Electrical Engineering, Computer Science, or related field.
Preferred Qualifications
Strong background in computer vision and video processing algorithms. 3+ years of experience developing and implementing computer vision and video algorithms within system‑level products.
Hands‑on experience with modern deep learning architectures.
Strong coding skills in Python (C/C++ is a plus) for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
Comfortable using the latest AI coding assistants and productivity tools to aid development and perform critical analysis (Claude Code, Cursor, ChatGPT, etc.). Understands the tradeoffs of using AI and values code quality.
Strong ability to work across algorithm, software, and hardware boundaries.
Experience deploying AI algorithms on the edge (ExecuTorch, Jetpack, QNN, etc.) and understanding of associated tradeoffs and resource limitations (power, memory bandwidth, etc.)
3+ years of experience working in a large, matrixed organization.
Publication, patent, or external technical contribution experience is a plus.
Level of Responsibility
Self starter, works independently with minimal supervision.
Decision‑making impacts work beyond the immediate work group.
Requires strong verbal and written communication skills. Comfortable in a research and development environment, proposing and defending new ideas, and presenting results to internal groups.
Owns the development and release process for a major algorithm feature, working with stakeholders to ensure requirements are met.
Tasks require multi‑step planning, prioritization, and problem‑solving, with flexibility in execution order to achieve objectives efficiently.
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Pay range and Other Compensation & Benefits
$129,500.00 - $194,300.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
