Nuvia
General Summary:
We seek a passionate engineer with in-depth knowledge on software and system design for novel camera feature to join the Camera Systems team.
The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile and IoT devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, as well as scene data for image understanding and object detection.
The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:
Propose and optimize machine/deep learning inference speed and performance, to improve texture and noise technology.
Build software that runs cutting-edge machine learning algorithms for image technology on embedded platforms.
Prototype ideas for proof of concept and demonstration purposes.
Collaborate cross-functionally to share ideas, communicate results, and drive solutions with balance power, memory, and maximize system performance to success.
Create tools to manage and process data, run calibration, and enable deployment of solutions.
Commercialize end to end camera feature solutions, including software management and troubleshooting on target platforms.
20% onsite availability for business travel across APAC and China.
Minimum Qualifications
5+ years Software Engineering, Systems Engineering, Deep Learning Engineering, or related work experience.
3+ years working experiences in the following areas:
Various camera and image processing technologies.
Rich camera ISP/3A IQ tuning experience.
CMOS sensors and algorithms for sensor and optics processing.
Solid SW implement/coding skill set.
Android HAL system design.
Knowledge of modern machine/deep learning techniques.
Customer support/camera tuning experience.
C/C++, Matlab, Python.
Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems.
3+ years of experience developing practical deep learning camera features about image technology using Pytorch, Tensorflow, Caffe, or other deep learning frameworks.
Well deep learning training skill without over-fitting by database collection, labeling, and augmentation, for different deep learning tasks.
Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.
Academic research (publications, papers etc.) in machine learning.
Understanding of the state-of-the-art in Deep Learning research.
Preferred Qualifications
Experience in integrating machine learning algorithm into camera systems.
Experience with Snapdragon software flow and ISP is a plus
Experience in camera 3A/ISP algorithm development is plus.
Experience in programming (including HW acceleration skill), e.g. ARM NEON, OpenCL, CUDA.
Good understanding of video processing pipeline such as HDR video recording and live streaming
Good analytical, problem solving and written communication skills
Video algorithms skills including scene analysis, motion estimation, block shape/mode decision and rate control
Have good knowledge of real-time operating systems and data structures
Familiarity with both objective and subjective video image quality assessment methodologies
Keywords
Video quality, video coding, video encoder, scene analysis, rate control, real-time systems, embedded systems, C, C++, Simulation tool, ISP
Educational Requirements
Required: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Master's or Ph.D., Computer Engineering and/or Computer Science and/or Electrical Engineering
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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