[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 · Hsinchu City, Taiwan # Senior AI Engineer – Depth Estimation and Dense Scene Understanding Hsinchu City, Taiwan Senior individual contributor Operations Listed on Qualcomm’s official careers site. Posted July 11, 2026. Check that it is still open and apply there. [Apply on Qualcomm’s careers site →](https://careers.qualcomm.com/careers/job/446719672552) [OpenNash Jobs](https://jobs.opennash.com/) / [Qualcomm](https://jobs.opennash.com/companies/qualcomm/) / Senior AI Engineer – Depth Estimation and Dense Scene Understanding ## Job description ### Company Qualcomm Semiconductor Limited ### Job Area Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking a highly motivated Senior AI Engineer to develop next-generation AI models for depth estimation and dense scene understanding from images and video. The primary focus of this role is advancing state-of-the-art solutions for monocular depth estimation, stereo depth estimation, metric depth prediction, video-based depth estimation, and dense per-pixel vision models. The ideal candidate will have deep expertise in computer vision and deep learning, with substantial experience developing depth-related AI models using modern neural network architectures. Knowledge of optical flow, motion estimation, temporal modeling, semantic segmentation, geometric vision, and 3D perception is highly desirable as complementary technologies that improve depth quality, temporal consistency, and scene understanding. This role combines cutting-edge AI research with real-world deployment and will be instrumental in developing future vision systems capable of accurate, temporally consistent spatial understanding on edge devices. The candidate will drive innovations in depth estimation, video-based scene understanding, and dense perception while collaborating closely with hardware and system teams to design efficient AI solutions optimized for performance, power, memory, and latency constraints. Experience with edge AI deployment, hardware-aware model design, and system-level optimization is highly valued. ### Key Responsibilities Depth Estimation Research and Development - Design, develop, and optimize state-of-the-art AI models for monocular depth estimation, stereo depth estimation, video/multi-frame depth estimation, dense per-pixel depth prediction, and depth fusion, completion, and refinement. - Develop novel AI architectures to improve depth accuracy, geometric consistency, edge preservation, temporal consistency, generalization across diverse environments, and robustness in challenging visual conditions. ### Video Understanding and Motion-Based Learning - Develop AI models that leverage temporal information from video sequences. - Research and implement techniques involving optical flow estimation, temporal feature fusion, temporal attention mechanisms, Video Transformers, recurrent and memory-based architectures, and motion-depth-segmentation joint learning. - Design approaches that utilize temporal and motion cues to improve depth prediction accuracy, enhance temporal stability, reduce frame-to-frame depth/segmentation flickering, improve scene understanding over time, and handle dynamic scenes and object motion. ### Preferred Qualifications - Experience with state-of-the-art depth and vision models, including Depth Anything, Metric3D, UniDepth, ZoeDepth, MiDaS, RAFT, FlowFormer, DINOv2, and Segment Anything (SAM). - Experience with video foundation models, self-supervised depth learning, motion-depth joint learning, multi-modal vision models, neural rendering, NeRF, and Gaussian Splatting. - Experience deploying AI models on edge devices. - Ph.D. or M.S. with relevant job experience. ### Minimum Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. ### 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: Jul 11, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 101 days - Location: Hsinchu City, Taiwan[Apply on Qualcomm’s careers site →](https://careers.qualcomm.com/careers/job/446719672552) ## More jobs at Qualcomm ### [(Structural ATPG) APAC Digital SOC Test Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/893021f204c7d3b64ad4/) Hsinchu City, Taiwan ### [ADT System Level Test Engineer, up to Sr.](https://jobs.opennash.com/companies/qualcomm/jobs/17b4983c3bae218073fb/) Hsinchu City, Taiwan ### [ASIC DV Engineer, Principal/Mgr](https://jobs.opennash.com/companies/qualcomm/jobs/f023f4c9967dfe9e7a12/) Hsinchu City, Taiwan ### [Advanced Node Process and Yield Diagnostics Engineer, Staff](https://jobs.opennash.com/companies/qualcomm/jobs/f01b6798a6f57c3e187c/) Hsinchu City, Taiwan ### [Architecture/System Validation Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/b21e5dd59265d6c5a121/) Hsinchu City, Taiwan ## Similar jobs at other companies ### [Senior Math Libraries Engineer - Dense Linear Algebra](https://jobs.opennash.com/companies/nvidia/jobs/8f9a2f631973c4348e50/) NVIDIA ### [STAGE - Estimation température d'injection utilisant un modèle Bilan Thermique Hydro F/H](https://jobs.opennash.com/companies/safran/jobs/11c440cd8ec52796372a/) Safran · Villaroche ### [Estimation Engineer_E&C_Sannomiya, Kobe](https://jobs.opennash.com/companies/air-liquide/jobs/397cb5c1554c6d0b4d96/) Air Liquide · Japan, Kobe-shi ### [Stage Sûreté de fonctionnement: Définition d'une méthode d'estimation de fiabilité F/H](https://jobs.opennash.com/companies/safran/jobs/6b48dea8b28dc5a6dd91/) Safran · Villaroche ### [Chef(fe) Estimation Électrique Laval, Laval, Quebec Laval, Laval, Quebec ENGINEERING / DESIGN STUDIES / METHODS ENGINEERING / DESIGN STUDIES / METHODS Permanent](https://jobs.opennash.com/companies/vinci/jobs/e38fcf07ef8983c9e19c/) VINCI · Laval, Quebec [Operations jobs](/functions/operations/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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