Camera Systems Engineer

Qualcomm•San Diego, CA

4d•$109,400 - $164,200

About The Position

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 Camera Engineer you will work on ideas that touch our daily life – creating everlasting connected memories and assist in building innovative devices through human and computer vision technologies in the Mobile, Automotive, XR, IoT & Compute space. You will have limitless opportunities to learn, grow and lead the world of Imaging.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Nice To Haves

Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
2+ years of experience in Image Signal Processing pipeline design, development, implementation, and verification.
2+ years of experience in camera tuning to enhance image quality across areas such as noise reduction, dynamic range, multi-frame processing, and color accuracy.

Responsibilities

Performs end-to-end Image Signal Processing pipeline tuning to achieve image quality KPIs through both subjective and objective evaluation.
Applies a strong understanding of image processing algorithms and techniques, including spatial and temporal noise reduction, multi-frame capture, multi-exposure HDR, tone mapping, and sharpening.
Leverages advanced camera engineering expertise to research, design, develop, verify, debug, implement, and validate complex camera systems, software, and system-level solutions.
Decomposes system architectures, image quality modules, algorithms, and features to define complex requirements and specifications that improve overall image quality across diverse use cases.
Ensures that advanced image quality, system performance, and ISP area and power targets are met. Addresses product and customer requirements for functionality and performance, supports customer feature implementations, and identifies implementation or configuration errors.
Collaborates with cross-functional teams to design, develop, and optimize camera systems, hardware, and software.
Develops detailed technical documentation and feature descriptions for complex camera projects, enabling users and customers to implement solutions effectively.