Embedded Software Engineer for Neural Processing SDK – Staff

Overview

Company:Qualcomm Technologies, Inc.

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

Qualcomm 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

General SummaryIn this position you will be responsible for assisting with the software design and development of the next generation Qualcomm Neural Processing SDK, associated tools, performance and power optimizations. You will help develop and optimize the Neural Processing SDK to support the latest and greatest DNNs emerging from the research community, optimize for next generation hardware acceleration cores, using a scalable software architecture. Show your leadership ability, and your passion for software design and development with your excellent analytical, design, programming, and debugging skills.All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.Ideal candidates will demonstrate the following:2+ years Software Engineering or related work experience.2+ years experience with Programming Language such as C, C++, Java, Python, etc.1+ years design and programming experience with C++.2+ years experience designing and building embedded software applications1+ years experience in Object Oriented SW DesignEmbedded Linux or Android NDK application developmentOptimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPsDeep learning frameworks Caffe, Caffe, TensorFlow, PyTorch, MxNet, etc.DNNs, CNNs, RNN/LSTM neural networks.Background in mathematical operations: linear algebra, fast math librariesGood communication skills (verbal, presentation, written)Ability to collaborate across a globally diverse team and multiple interests

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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