Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

AIMET is an open-source library for optimizing trained neural network models, providing advanced model compression and quantization techniques to shrink models while maintaining task accuracy. Smaller models translate into improved run-time performance and lower latency as well lower compute, memory, and power consumption.

AIMET’s advanced model compression and quantization algorithms can be incorporated into PyTorch and TensorFlow model-building pipelines for automated post-training optimization and for model fine-tuning. Automating these algorithms helps eliminate the need for hand-optimizing neural networks that can be time-consuming, error-prone, and difficult to repeat.

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.

OR

Master'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.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

In this position you will be responsible for developing model tools and delivering advanced machine learning solutions for Qualcomm’s hardware and software infrastructure to key customers. You will work with ML frameworks including PyTorch and TensorFlow, extend Qualcomm’s AI Model Efficiency Toolkit and AI software platform to support the latest cutting edge machine learning models, including Generative AI models, analyzing and optimize their on-target accuracy using advanced quantization techniques and finetuning.

Responsibilities

• Oversee the development, commercialization, and application of machine learning quantization techniques into products and solutions to enable customers to do the same.

• Act as a technical lead for teams developing, adapting, and prototyping quantization solutions; review and helps write proposals or roadmaps for sub-systems of complex products and features. Provide supervision to direct reports.

• Provide technical expertise for experiments that train and evaluate optimization solutions and communicate progress to key stakeholders. Decision-making is critical in nature and highly impacts program, product, or project success.

• Develop and administers, schedules, and performance standards for functional area within the prescribed objectives of the department. Has influence over the formulation and achievement of long-term business plans and objectives.

• Develop & test software that includes applying algorithms for compression, quantization and neural architecture search to run efficiently on edge devices.

• Collaborate and coordinate feature development across internal teams spanning AI Research, Software Development, Test, and Customer Engineering teams.

• Optimize models for performance and accuracy by applying post-training and training-time techniques and release them to customers and public users

• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Ideal candidates for this position will demonstrate the following:

• Solid understanding of machine learning technologies. Hand-on experience in design/implementation/training of deep learning networks via PyTorch or TensorFlow.

• Strong interest in learning about the latest emerging AI models and architectures and to accelerate their deployment using Qualcomm’s solutions.

• Hands-on experience with model quantization and/or compression algorithms and techniques.

• 3-5+ years' programming experience using Python & C/C++. Strong programming fundamentals.

• Object oriented design and development skills

• Strong verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents.

• Ability to quickly learn new technologies and work on resolving priority customer issues during product development cycles.

• Debugging and analysis skills, for root causing complex issues

• Experience with Source Code and Configuration management tools, such as Git

• Experience with enhancements to Training Frameworks and/or backends for PyTorch or Tensorflow

Preferred Qualifications

• Experience and understanding of a range of NN architectures include DNNs, CNNs, RNNs/LSTMs, GANs, Diffusion Models, GenAI, etc...

• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, PyTorch, Caffe, Keras, etc…).

• 4+ years in a technical leadership role with or without direct reports (only applies to positions with direct reports).

• 4+ years experience working in a large matrixed organization.

• 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Sr. Director and above).Experience of profiling software and optimization techniques.

• Understanding of linear algebra for ML.

• Experience with Android or other embedded platforms

• Linux software development

• Ability to collaborate across a globally diverse team and multiple interests

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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 protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$191,500.00 - $287,500.00

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!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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