Lead ML Engineer - On Device Learning SW

Company: Qualcomm
Location: San Diego
Posted on: March 4, 2025

Job Description:

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, compute, auto, and IoT products through machine learning hardware and software.Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enabling the wide deployment of intelligent solutions on all possible devices - like smartphones, autonomous vehicles, laptops, robotics, IOT devices, and so on. Qualcomm is creating building blocks for the intelligent edge.We are part of Qualcomm AI Research. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, work with popular neural network frameworks, and understand the architecture of Qualcomm's SOC compute and ML HW accelerators. You will architect, design, develop & test software for machine learning tools and frameworks for proof-of-concept of efficiency on all edge devices. The successful applicant should have a strong software background and a passion to work on neural network frameworks/libraries. Prior experience developing AI software toolkits would be a big plus.Minimum Qualifications:--- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.Responsibilities:

• Drive & Develop full system design & proof of concept for on-device learning on Qualcomm devices.
• Development of end-to-end embedded AI software to run neural network models on Qualcomm leading-edge hardware with optimal resource usage.
• Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborate with AI Processor Software & Hardware team (GPU, NPU, etc.), and ensure high-quality implementation of new ML operators/layers to optimally utilize new capabilities in next-gen AI processors.
• Develop debugging/profiling tools for rapid prototyping & deployment of new use cases.Preferred Skills and Experience:
  • At least 3 years of work experience in a related field.
  • Experience with training frameworks and training processes, e.g., LORA fine-tuning.
  • Experience in leading teams of ML engineers.
  • Knowledge of deep learning and frameworks such as PyTorch.
  • Excellent programming capability with C/C++ and Python.
  • Strong software design, development, and debugging skills.
  • Knowledge in Android programming is a plus.
  • Optimization of algebraic operations in algorithms for HW cores (GPU, NPU, etc.) is a plus.
  • Knowledge in neural network model quantization is a big plus.
  • Experience with Qualcomm QNN SDK is a big plus.Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications, or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees, or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding the protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay range and Other Compensation & Benefits:$206,900.00 - $310,300.00The 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 .If you would like more information about this role, please contact .
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Keywords: Qualcomm, San Diego , Lead ML Engineer - On Device Learning SW, Engineering , San Diego, California