Camera ISP Algorithm System Engineer

7 Hours ago • 3 Years +

Job Summary

Job Description

The Camera ISP Algorithm System Engineer will be responsible for developing and evaluating image quality (IQ) for various camera systems. This includes designing and tuning IQ for mobile, automotive, and IoT cameras, optimizing system-level imaging, and designing camera systems to balance performance with power, memory, and silicon area. The engineer will also design ISP and software features to improve image quality and power efficiency. Responsibilities also include IQ evaluation system development, end-to-end IQ evaluation and tuning, system level imaging optimization, and designing camera systems.
Must have:
  • Signal/image processing and IQ tuning experience
  • Experience with Camera and Computer Vision technologies
  • Image quality (IQ) evaluation methodologies
  • Multi-camera system algorithms
  • Knowledge of modern machine learning techniques
  • Experience with C, C++, Matlab, Python
Good to have:
  • Excellent analytical and problem-solving skills
  • Strong coding background
  • Experience driving ideas to commercialization
  • Knowledge of C++
  • Experience integrating machine learning algorithms

Job Details


Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Systems 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. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

Job Overview

We seek a passionate engineer with in-depth knowledge on algorithm design for new image sensor technologies to join the Camera Systems team.

The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced 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:

1. Image Quality (IQ) Evaluation System development for Mobile photo camera, Automotive camera, and IoT Produce Camera. The IQ areas include tone/exposure, color and white balance, texture/details, noise, depth and Bokeh, resolution, visual artifacts in photo and video.

2. Perform end-to-end IQ evaluation and tuning on traditional imaging algorithms or modern machine learning based features.

3. Perform system level imaging optimization and discover system IQ constraints

4. Design of camera systems that balance power, memory, silicon area to maximize imaging performance

5. Design ISP and SW combined feature to get better image quality and power performance


Basic Qualifications

3+ years working experiences in some of the following areas:

  • Signal/image processing and IQ tuning experience including noise reduction process
  • Camera and Computer Vision technologies
  • Image quality (IQ) evaluation methodologies and metrics
  • Multi-camera system algorithms including at least one of following subjects or similar: temporal synchronization, image fusion, depth estimation, dual-camera calibration / stitching.
  • Knowledge of modern machine learning techniques
  • Customer support/ camera tuning experience
  • C, C++, Matlab, Python

Preferred Qualifications

  • Candidates should have excellent analytical and problem-solving skills along with strong coding background
  • Track record of driving ideas from design through commercialization
  • Excellent knowledge of C++, capability to design and implement robust, high-performance and flexible system software
  • Experience in integrating machine learning algorithm into camera systems.

Education Requirements

  • Master or PhD in Electrical Engineering, Computer Engineering or Computer Science

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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).

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.

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.

If you would like more information about this role, please contact Qualcomm Careers.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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