
Action Camera Systems Software Engineer, up to Staff
at Qualcomm
Posted a day ago
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The Action Camera Image Quality System Engineer will be responsible for the design and development of image quality to showcase balance Image Quality (IQ) metrics for Action Cameras include both objective and subjective IQ evaluations. The Qualcomm Camera Team is seeking a passionate systems software engineer to create embedded imaging solutions for Snapdragon chipsets, leveraging hardware, multi-core processors, DSP, and GPU to deliver high-quality pictures, videos, and computer vision capabilities. Responsibilities include building software with ML algorithms for pictures and camera processing on embedded platforms, optimizing run-time, memory, data traffic and power, prototyping concepts, and creating tools to manage data, calibrate, and deploy solutions at scale; with 60-80% workload for customer support and 20% onsite travel across APAC and China.
Company:
Qualcomm Semiconductor LimitedJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:
The Action Camera Image Quality System Engineer will be responsible for the design and development of image quality to showcase balance Image Quality (IQ) metrics for Action Cameras include both objective and subjective IQ evaluations.
Job Overview
The Qualcomm Camera Team is seeking a passionate systems software engineer. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities. Responsibilities for the position include the following:
(1) Build software that incorporates cutting-edge machine learning algorithms for pictures and camera processing on embedded platforms
(2) Adapt and optimize codes for run-time, memory footprint, data traffic, power
(3) Propose system and algorithmic design changes to improve machine learning inference speed and to achieve optimized end-to-end flow
(4) Prototype ideas for proof of concept and demonstration purposes
(5) Create tools to manage and process data, run calibration, and enable deployment of solutions at scale
(6) Commercialize machine learning solutions, including software management and troubleshooting on target platforms
(7) Optimize machine learning models and system flow to improve performance for internal and external camera features
(8) 60%–80% workload for customer support; 20% onsite availability for business travel across APAC and China.
Minimum Qualifications
Overall, the candidate needs to be experienced in the areas of embedded firmware/software development. More specifically, the selected candidate should:
• Bachelor's degree in Electrical Engineering, Information Systems, Computer Science, or related field.
• 5+ years Systems Engineering or related work experience.
Preferred Qualifications
(1) Familiarity with both objective and subjective image quality assessment methodologies.
(2) Experience with Snapdragon ISP is a plus.
(3) Master's or PHD degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
(4) 3+ years of embedded software experience
(5) Camera and ISP software stack development
(6) Optimization of algorithms on and across CPU, QNN, GPU, DSP and/or ML specific cores
(7) Experience with integrating machine learning algorithms into camera systems
(8) Candidates should have excellent analytical and problem-solving skills along with strong coding background
(9) Excellent knowledge of C/C++/Python, capability to design and implement robust, high-performance and flexible system software
Keywords
Image Quality, Action Camera, Machine Learning, ISP, Image Processing, Computer Vision, Heterogeneous Compute, Software Development
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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