below marketmost similar roles pay hereabove market
This role pays less than
72%
of similar roles. Most pay
$132,000–$210,870
— the blue band above.
At the midpoint, this role pays about
$137k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Camera Systems Engineer joins the Camera Engineering group to develop and validate complex camera systems, software, and system-level solutions. The role involves performing end-to-end Image Signal Processing pipeline tuning to achieve specific image quality KPIs through subjective and objective evaluation. Key responsibilities include researching, designing, and debugging algorithms for spatial and temporal noise reduction, multi-frame capture, multi-exposure HDR, tone mapping, and sharpening. The engineer must decompose system architectures to define requirements that improve image quality across diverse use cases while meeting ISP area and power targets. Required skills include expertise in image processing algorithms, camera tuning, and pipeline verification. This work supports human and computer vision technologies across Mobile, Automotive, XR, IoT, and Compute product areas to solve complex imaging and performance challenges.
Perform end-to-end Image Signal Processing pipeline tuning to achieve image quality KPIs.
Apply image processing algorithms for noise reduction, multi-frame capture, HDR, tone mapping, and sharpening.
Research, design, develop, verify, debug, and validate complex camera systems and software solutions.
Decompose system architectures and modules to define requirements and specifications for diverse use cases.
Ensure image quality, system performance, and ISP area and power targets are met.
Identify implementation or configuration errors to support customer feature requirements.
Develop detailed technical documentation and feature descriptions for complex camera projects.
What we're looking for
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field (preferred).
2+ years of experience in Image Signal Processing pipeline design, development, implementation, and verification (preferred).
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 (preferred).
Experience performing end-to-end Image Signal Processing pipeline tuning to achieve image quality KPIs through subjective and objective evaluation.
Knowledge of image processing algorithms including spatial and temporal noise reduction, multi-frame capture, multi-exposure HDR, tone mapping, and sharpening.
Ability to research, design, develop, verify, debug, implement, and validate complex camera systems, software, and system-level solutions.
Ability to decompose system architectures and image quality modules to define complex requirements and specifications.
C
C++
Python
Image Signal Processing
ISP
Embedded Systems
Computer Architecture
Logic Design
Power Optimization
3A
Image Quality
Design Verification
Modeling
C
C++
RTOS
ARM
Assembly
Android
JTAG
ADB
Version Control
Digital Signal Processing
Digital Image Processing
Fixed-point Implementation
Microcontroller Architecture
C
C++
Python
Android
Linux
MS Windows
Embedded Systems
Computer Architecture
Camera Image Signal Processor
HAL
Device Drivers
AI
ML
3A
Image Quality, Tuning