Camera DE Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

As a Qualcomm Camera Engineer, you will contribute to the research, design, and development of next-generation camera systems, including Image Signal Processors and algorithms. This role requires collaboration and technical documentation for innovative devices across Mobile, Automotive, XR, IoT, and Compute sectors.

Responsibilities

Applies Camera Engineering knowledge to research, design, develop, verify, debug, implement, and/or validate camera systems, HW or FW tasks (including Camera Image Signal Processor, 3A, Image Quality, Features, and Tuning Tools), algorithms, features, logic design, modeling, design verification, and power optimization.
Performs architecture, IQ modules, algorithm, and feature decomposition that meet requirements and specifications for hardware development.
Ensures that image quality, system performance, and ISP area and power metrics are met.
Collaborates with team members to design, develop, and optimize camera systems, hardware, and/or software.
Writes technical documentation and feature descriptions for complex Camera projects to guide users and/or customers to implement output.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
2+ years of experience in camera hardware or systems design and optimization.
1+ year of experience in programming (e.g., C, C++, Python), computer architecture, or embedded systems.
1+ year of experience in Image Signal Processing design, development, implementation, and verification.

Desired Qualifications

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

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play
The ability to 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.
Limitless opportunities to learn, grow and lead the world of Imaging.