Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

General 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, edge, 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 enable the wide deployment of intelligent solutions on all possible devices – like smart phones, autonomous vehicles, robotics, IOT devices and so on. Qualcomm is creating building blocks for the intelligent edge.
 

We are part of Qualcomm AI Research, and we focus on researching model efficiency techniques – including model quantization, model compression, network architecture search (NAS), transfer learning and related fields. We turn this research into state-of-the-art tools like the AI Model Efficiency Toolkit (AIMET) that help Qualcomm’s customers and the AI community easily apply these techniques to their tasks and models. Come join us on this exciting journey.
 

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

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 that enable making models smaller and run efficiently on all edge devices. The successful applicant should have a strong software background, and passion to work on neural network frameworks/libraries. Prior experience developing AI software toolkits would be a big plus.

Minimum Qualifications:

3-5+ years' programming experience using Python required. C/C++ nice to have.

Preferred Qualifications:

Ideal candidates will demonstrate one or more of the following:

Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorchPrior experience contributing to open-source software development projects or customer facing software development projects would be a big plusPrior experience developing ML model optimization frameworksExperience deploying ML models on edge devicesExperience developing data pipelines for ML models or ML model training pipelinesObject-oriented design and development skillsDebugging and analysis skills, for root-causing complex issuesExperience profiling software to find runtime and memory bottlenecks and optimizing the sameExperience with source code and configuration management tools, such as GitPrevious experience working in an Agile environment, and collaborating with multi-disciplinary teams

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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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 and Other Compensation & Benefits:

$133,000.00 - $200,000.00

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.