[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Qualcomm jobs](https://jobs.opennash.com/companies/qualcomm/) · [Search jobs](/search/) Qualcomm # Senior Computer Vision Research Engineer — Face Analytics & 3D Reconstruction Hsinchu City, Taiwan, Taipei, Taipei City Senior individual contributor Data & Analytics Listed on Qualcomm’s official careers site. Posted August 26, 2026. Check that it is still open and apply there. [Apply on Qualcomm’s careers site →](https://careers.qualcomm.com/careers/job/446716572461) [OpenNash Jobs](https://jobs.opennash.com/) / [Qualcomm](https://jobs.opennash.com/companies/qualcomm/) / Senior Computer Vision Research Engineer — Face Analytics & 3D Reconstruction ## Job description ### Company Qualcomm Semiconductor Limited ### Job Area Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality. The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python and C/C++ programming. The selected candidate will have responsibilities in the following areas: - Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to face analytics, facial expression recognition, face synthesis, and 3D face reconstruction from 2D images. Must have ### Qualifications - Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field. - 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics. - 5+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks. - Solid Background in Computer Vision or Computer Graphics. - Solid background in machine/deep learning fundamental knowledges and mathematics. - Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.) - Proficiency in C/C++ or Python programming. ### Education - Ph.D. - Computer Science or Electrical Engineering - Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software. - Expertise in various networks architectures such as DiT, U-Nets, ResNets, transformer, diffusion models. - Experience in deep learning based high resolution face editing - Experience in face analytics (attributes, accessories, etc) - Experience in VLM - Experience in data synthesis - Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing. - Excellent written and verbal communication skills. - Track record of driving ideas from design through commercialization. - Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems. - Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization. - Team Player. ### Minimum Education Qualifications - Master's in Computer Science, Engineering, Information Systems Skills AI Frameworks, Calculus, Data Manipulation, Deep Learning, Computer Vision, Computer Graphics, Machine Learning, Performance Optimization, Python, Statistics. ### Minimum Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, 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. ## At a glance - Posted by the employer: Aug 26, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 20, 2026 - Listed for: 102 days - Location: Hsinchu City, Taiwan, Taipei, Taipei City[Apply on Qualcomm’s careers site →](https://careers.qualcomm.com/careers/job/446716572461) ## More jobs at Qualcomm ### [Senior/Staff AI Model Optimization Architect (Hsinchu/Taipei)](https://jobs.opennash.com/companies/qualcomm/jobs/c0e9e0bbf5ec9acf20f0/) Hsinchu City, Taiwan, Taipei, Taipei City ### [AI Performance Engineer, Cloud AI (Multiple Levels: Entry-Level to Senior Staff) (Hsinchu/Taipei)](https://jobs.opennash.com/companies/qualcomm/jobs/d591b5e1461f010bcdff/) Hsinchu City, Taiwan, Taipei, Taipei City ### [ASIC Design Engineering - Multiple function](https://jobs.opennash.com/companies/qualcomm/jobs/45fb7a66eea18f11e211/) Hsinchu City, Taiwan, Taipei, Taipei City ### [ASICS Design Engineer, Senior Staff to Principal Level](https://jobs.opennash.com/companies/qualcomm/jobs/82466de4ad3e556a1d92/) Hsinchu City, Taiwan, Taipei, Taipei City ### [Customer Quality Engineer, Staff](https://jobs.opennash.com/companies/qualcomm/jobs/e85041ef38e0ec373632/) Hsinchu City, Taiwan, Taipei, Taipei City ## Similar jobs at other companies ### [Head of Computer Vision](https://jobs.opennash.com/companies/siemens-energy/jobs/b1cac4133e7fc42c8c15/) Siemens Energy ### [Internship Computer Vision & Machine Learning Research](https://jobs.opennash.com/companies/apple/jobs/c20d54605c3039a59176/) Apple · Munich, Germany ### [Internship Computer Vision & Machine Learning Research](https://jobs.opennash.com/companies/apple/jobs/c096079095400b434e55/) Apple · Zurich, Switzerland ### [Vision Science & Machine Learning Research Intern](https://jobs.opennash.com/companies/essilorluxottica/jobs/15f55281322a428893fc/) EssilorLuxottica · Singapore, SG ### [Project Manager, Robotics & Computer Vision: Vernova Research](https://jobs.opennash.com/companies/ge-vernova/jobs/9d9eccfe44024317e954/) GE Vernova · Niskayuna OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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