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Computer Vision Systems Architecture

**Company:**

Qualcomm Technologies, Inc.

**Job Area:**

Engineering Group, Engineering Group > Multimedia Systems

**General Summary:**

Qualcomm's Systems group is seeking candidates for its Computer Vision team in San Diego, CA. The team develops new algorithms, hardware architectures and systems for computer vision functions running in an embedded systems targeted primarily to devices for the AR/VR, smartphone and IoT environment. We are seeking candidates with strong knowledge and hands-on experience in systems architecture and hardware development of computer vision technologies within an embedded systems hardware environment. Experience in developing real time computer vision systems is desirable. Working knowledge of problem solving of computer vision tasks using neural network processing is also a plus for this position. Candidates at different levels of experience will be considered.

**Responsibilities:**

The selected candidate will have responsibilities in one or more of the following areas:

+ Work with other leads on design and technology development activities for computer vision systems including studying state of the art algorithms and profiling on target platforms, hardware/software partitioning of algorithms and provide architecture and specifications for hardware implementation.

+ Come up with adaptations of existing algorithms that will enable new functionalities through hardware implementation. This work will involve close collaborations with algorithm developers, SoC architects and designers to drive to hardware development that will enable novel AR/VR experiences with state of the art advances in performance, power and silicon area.

+ Systems and hardware architecture development will span conventional computer vision frameworks as well as neural network based frameworks for the enablement of AR/VR experiences.

**Minimum Qualifications**

+ Expertise in systems architecture and hardware design supporting computer vision and machine learning use cases

+ Expertise in methods for partitioning a solution across hardware and software within an overall systems solution

+ Experience in developing hardware systems level architecture for accelerators targeted to real time computer vision tasks

+ Experience in evaluating system and hardware block level architecture tradeoffs in throughput, latency, power and area

+ Excellent verbal and written communication and presentation skills

+ Programming skills in C/C++, Python and experience with hands-on coding for the purpose of developing and testing hardware

+ Master's degree in Electrical Engineering or Computer Science with significant systems and hardware design topics related coursework.

**Preferred Qualifications**

+ Have multiple years of industry experience developing systems and hardware level solutions in computer vision area and/or AR/VR systems

+ Expertise in deep neural network processing frameworks for computer vision tasks

+ Experience with top down high level model to HW mapping

+ Experience in developing hardware solutions or understanding at algorithm level in SLAM, hand tracking, eye tracking, 3D scene understanding, body pose estimation is a plus

+ Experience in advanced ASIC/SoC design methodologies including knowledge of HLS is a plus.

+ Knowledge of industry trends and disruptive technologies in computer vision area with emphasis on AR/VR

+ Results oriented, self motivated, proactive and have demonstrated creative and critical thinking skills and being able to operate with minimum high level direction

+ Phd degree in Electrical Engineering or Computer Science with emphasis in Systems architecture and hardware development for real time systems in computer vision and/or AR/VR areas.

**Minimum Qualifications:**

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.

*Works in the lab, can use hazardous chemicals (e.g., glue, machinery).

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 myhr.support@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) . 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.

**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:**

$114,500.00 - $171,500.00

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


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