Staff Software Engineer – Machine Learning Frameworks

Overview

Company:Qualcomm Technologies, Inc.

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

Job Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

GENERAL SUMMARY

This individual creates advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime Artificial Intelligence is changing the world for the benefits of human beings and societies. QUALCOMM, as the world’s leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices. Be a part of the R&D and Software team, you will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system. In this role you will design, develop & test software for machine learning frameworks and toolkits to include algorithms for compression, quantization, compilation and neural architecture search that optimize models to run efficiently on edge devices. The candidate is expected to have strong interest and deep passion on making leading-edge “deep learning” framework and algorithms working on mobile/embedded platforms for the benefit of end users.Ideal candidates will demonstrate the following:• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering or related discipline• 3-5+ years’ programming experience using C/C++ & Python.• Object oriented design and development skills• 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 backendsKnowledge of neural networks ( especially CNNs and RNN/LSTMs ), with hands-on experience using ML frameworks such as TensorFlow or PyTorchPrevious experience working in an Agile environment, and collaborating with multi-disciplinary teams• Experience deploying ML models on edge devices • Experience with developing data and training pipelines.• Experience of profiling software and optimization techniques• Good understanding of multi-dimensional data movements and processing

PHYSICAL REQUIREMENTS:

+ Frequently transports between offices, buildings and campuses up to ½ mile.

+ Frequently transports and install equipment up to 5 lbs.

+ Performs required tasks at various heights (e.g. standing or sitting).

+ Monitors and utilizes computers and test equipment for more than 6 hours a day.

+ Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.

Minimum Qualifications

Education:

Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

5+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Certifications:

Skills:

Preferred Qualifications

Education:

Masters – Computer Science, Masters – Engineering, Masters – Information Systems

Work Experiences:

5+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++) ,2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. ,5+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,5+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media) ,5+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,3+ years of experience working in a large matrixed organization. ,1+ years in a technical leadership role with or without direct reports (only applies to positions with direct reports).

Certifications:

Skills:

AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics

Applicants: If you are an individual with a 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 to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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.

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

We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—we invent breakthrough technologies that transform how the world connects, computes, and communicates.

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