Camera Systems Engineer — HDR & ML Imaging

Qualcomm; San Diego, Northern (CA, KY); Hybrid; USD 123,000 - 184,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego is seeking an engineer to design and develop camera system algorithms for essential imaging features such as HDR, low-light enhancement, tone mapping, stabilization, and noise reduction, and to integrate these into end-to-end pipelines across ISP, DSP, GPU, and CPU.

The role focuses on ML-assisted imaging, performance, power, and latency optimization, with collaboration across teams to deliver scalable camera solutions for Snapdragon platforms.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of related work experience.
• Master's degree and 1+ year of related work experience.
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Responsibilities

• Design and develop camera system algorithms for HDR, low-light enhancement, tone mapping, stabilization, and noise reduction.
• Integrate algorithms into end-to-end camera pipelines across ISP, DSP, GPU, and CPU.
• Optimize solutions for performance, power, latency, and scalability across platforms.
• Support feature enablement and customization for customer programs.
• Collaborate with internal teams to drive feature adoption and commercialization.

Skills

C/C++

Python

MATLAB

Image processing

Computer vision

Camera systems

ISP-based pipelines

ML imaging

Cross-platform

Education

Bachelor's in Computer Engineering, CS, EE

Master's degree in related field

PhD in related field

Job description

Qualcomm Technologies, Inc. in San Diego is seeking an engineer to design and develop camera system algorithms for essential imaging features such as HDR, low-light enhancement, tone mapping, stabilization, and noise reduction, and to integrate these into end-to-end pipelines across ISP, DSP, GPU, and CPU.

The role focuses on ML-assisted imaging, performance, power, and latency optimization, with collaboration across teams to deliver scalable camera solutions for Snapdragon platforms.