Hiring.Camp

Camera Systems Engineer

Qualcomm

·

Oct 1, 2025

Location
San Diego, CA,US, US · Santa Clara, CA,US, US
Type
Full-time
Department
Engineering
Education
PhD
Source
Eightfold

Description

Apply deep expertise in Camera and Imaging Engineering to research and develop industry-leading Image Signal Processing (ISP) solutions. Design, develop, implement, and verify highly complex ISP systems, including both hardware and software tasks related to image and video analytics. Demonstrate strong familiarity with image processing and computer vision algorithms, along with solid knowledge of machine learning (ML) and artificial intelligence (AI) in the imaging domain. Serve as a technical expert in architecture, algorithm, and feature decomposition, driving hardware requirements and specifications. Ensure advanced KPIs, system performance, area, and power metrics are met. Lead root cause analysis and resolution of complex technical issues. Act as a technical lead, fostering collaboration across teams and with customers to analyze product requirements for new architecture or modifications to existing designs. Address all addressable markets including Mobile, XR/AR, Automotive, IoT, and Compute. Possess strong programming skills in C/C++ and Python. Experience in one or more of the following is a plus: Android, ADAS, RTL design and verification, hardware modeling, embedded firmware, RTOS, ARM architecture. Demonstrated ability to quickly learn new tools and technologies. Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Skills

PythonMachine LearningComputer VisionAndroid

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