Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibility
Lead the development of end-to-end embedded AI software and runtime systems to orchestrate neural network models on Qualcomm’s leading-edge hardware, driving the co-design of machine learning software and hardware for optimized inference and training solutions.
Design, develop, debug, profile, and optimize AI/ML frameworks, runtime software, model efficiency tools, compiler technologies, and machine learning inference to improve performance, power efficiency, scalability, and enable advanced hardware capabilities.
Develop, adapt, and prototype novel AI/ML and agentic software solutions aligned with product roadmaps and system-level innovation, translating advanced machine learning research into production-ready technologies and customer-facing solutions.
Provide technical leadership for the design, implementation, training, evaluation, and deployment of machine learning solutions, guiding experimentation, architecture decisions, and best practices across the team.
Design and enhance the implementation of ML/AI SW stack and runtime software to improve performance and power efficiency.
Collaborate cross-functionally with hardware, software, and research teams to define technical direction, solve complex problems, influence key organizational decisions, and drive successful delivery of strategic AI initiatives.
Work independently with minimal supervision while mentoring and providing technical guidance to team members, effectively communicating complex concepts to both technical and leadership audiences.
Preferred Skills and Experience
At least 9 years of work experience in a relevant field.
5+ years of experience and excellent programming capabilities with C/C++ and Python.
5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
Knowledge of model onboarding and on device inference.
Familiarity with software performance and power optimization
Experience with the Qualcomm AI Software Stack + SDKs is a plus.
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Pay range and Other Compensation & Benefits
$194,400.00 - $291,600.00
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.