Computer Vision Systems Engineer

Overview

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Video Systems, HW Architecture

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

Qualcomm provides complete chipset solution that includes CPU, Modem, Application Processor, Multi-media engines, Interconnect and more. Power is a key area that drives the value of our chips. As fabrication technology node shrinks, and performance requirement become higher, it is crucial to provide power optimized solutions, which is the responsibility of the group that you will be working in.Qualcomm Video Systems group provides video and vision IP solutions for all of Qualcomm’s Snapdragon processors including mobile, automotive and VR/AR. The team’s scope includes algorithm and architecture design for video analytics, computer vision and machine learning with power and performance optimization.

The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:• Research and develop computer vision algorithms for mobile, automotive and AR/VR applications with performance and power efficiency• Define systems architecture for computer vision solutions including data flow, task partition, interface and systems interoperation.• Design and implement C/C++ simulator for computer vision functions. The simulator will be used for algorithms development, verification, and quality evaluation.• Work on DSP or GPU optimization of computer vision algorithms• Define methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption.MINIMUM REQUIREMENTS:• Bachelor’s degree or equivalent in Computer or Electrical Engineering, Computer Science, or related field.• 2+ years Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experiencePREFERRED REQUIREMENTS:• Experience with computer vision and machine learning• Proficiency in C/C++• Embedded system architecture including platform architecture, software stack, security and virtualization.• Strong analytical and mathematical skills to develop new computer vision algorithms• Work experience with VR/AR/ADAS systems design• DSP/Neon/GPU optimization and multi-thread programming• Experience in motion analysis, object detection/tracking and pattern recognition

Minimum Qualifications

Education:

Bachelors – Computer Engineering, Bachelors – Computer Science, Bachelors – Electrical Engineering

Work Experiences:

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

Certifications:

Skills:

Preferred Qualifications

Education:

Doctorate – Computer Engineering, Doctorate – Computer Science, Doctorate – Electrical Engineering, Masters – Computer Engineering, Masters – Computer Science, Masters – Electrical Engineering

Work Experiences:

1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,3+ years 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). ,2+ years of applicable video HW and/or Systems experience. ,5+ years experience with hardware system design, system integration, schematic capture, and circuit simulation software. ,5+ years experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.

Certifications:

Skills:

ARM Architectures, Hardware Software Integration, Multimedia Systems, Video Coding, Video Processing

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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