Camera ISP Algorithm Designer at Qualcomm Technologies Inc Turkey

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

250600.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Image Processing, Computational Imaging, Computer Vision, Algorithm Design, C, C++, Python, Matlab, Signal Processing, Video Processing, Color Processing, Tone Processing, Machine Learning, Deep Neural Networks, Mobile Imaging, Camera Technology

Industry

Telecommunications

Description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Camera 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. We seek a passionate engineer with in-depth knowledge on image processing, computational imaging, or computer vision algorithm design, especially ISP related, to join the Camera Systems team. The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced technology in mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, as well as scene data for image understanding and object detection. Responsibilities include the following: - Research and development for mobile camera features and image/video quality improvement - Prototype solutions on platforms for proof of concept and demonstration purposes - Deployment of solutions that improve the mobile imaging experience. - Design of camera systems that balance power, memory, silicon area to maximize imaging performance. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company Minimum Qualifications: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. Experiences in the following areas: · Expertise in signal, image, video and color/tone processing · Proficiency with C, C++, Python, Matlab · Excellent analytical and problem-solving skills Preferred Qualifications · PHD Degree preferred with one or more skills below · Experience with camera technology and ISP (Image Signal Processor) · Experience with computer vision, machine learning and deep neural networks related to image/video/motion/depth/sematics processing · Experience with sensors and algorithms for sensor and optics processing · Experience with mobile imaging related development and technology 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: $167,000.00 - $250,600.00 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.

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Responsibilities

Research and develop mobile camera features and improve image/video quality. Design camera systems that optimize power, memory, and silicon area for enhanced imaging performance.