(Machine Learning) Camera Software Systems Engineer at Qualcomm Technologies Inc Turkey

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Design, System Design, Embedded Platforms, Image Processing, Deep Learning Inference, C++, Matlab, Python, Computer Vision, Pytorch, Tensorflow, Caffe, Model Pruning, Quantization, Android HAL

Industry

Semiconductor Manufacturing

Description

Company: Qualcomm Semiconductor Limited Job Area: Engineering Group, Engineering Group > Systems Engineering 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 required in following areas but not limited to 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. 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. 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). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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Responsibilities

The role involves proposing and optimizing machine/deep learning inference speed and performance for image technology, and building software to run cutting-edge algorithms on embedded platforms. Responsibilities also include prototyping ideas, collaborating cross-functionally, and commercializing end-to-end camera feature solutions.