{"schemaVersion":"jobsearcher.job.v1","id":"f15bc0f3a54451c5f2168549","url":"https://jobsearcher.com/jobs/f15bc0f3a54451c5f2168549","canonicalUrl":"https://jobsearcher.com/jobs/f15bc0f3a54451c5f2168549","title":"Computer Vision Engineer","description":"Develop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.\r\nResponsibilities\r\nDevelop proof-of-concept systems using state-of-the-art AI and computer vision technologies.\r\nDesign and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.\r\nBuild solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.\r\nEvaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.\r\nIntegrate camera, vehicle, and sensor data to create innovative AI-driven applications.\r\nDevelop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.\r\nDesign real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.\r\nOptimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.\r\nPrototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.\r\nDevelop software for deployment and demonstration in vehicle-based proof-of-concept platforms.\r\nEvaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.\r\nCollaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.\r\nStay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.\r\nRequired Qualification\r\nMaster's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field\r\nStrong background in Computer Vision and Machine Learning\r\nHands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks\r\nExperience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures\r\nStrong programming skills in Python and C++\r\nExperience reading, reproducing, and extending recent AI/CV research publications\r\nFamiliarity with Linux development environments\r\nExcellent verbal and written communication skills\r\nPreferred Qualifications\r\nExperience with Foundation Models, Large Vision Models, and Multimodal AI systems\r\nExperience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.\r\nExperience with Generative AI and synthetic data generation.\r\nExperience developing software on embedded Linux systems.\r\nExperience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.\r\nExperience optimizing and deploying AI models on edge devices and automotive computing platforms.\r\nExperience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.\r\nExperience with ROS/ROS2, sensor fusion, or robotic/automotive systems.\r\nPublications in leading AI, robotics, or computer vision conferences are a plus.\r\nJ-18808-Ljbffr","company":"MSR Technology Group","rawCompany":"msr technology group","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:35:57.507Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","description":"Develop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.\r\nResponsibilities\r\nDevelop proof-of-concept systems using state-of-the-art AI and computer vision technologies.\r\nDesign and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.\r\nBuild solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.\r\nEvaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.\r\nIntegrate camera, vehicle, and sensor data to create innovative AI-driven applications.\r\nDevelop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.\r\nDesign real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.\r\nOptimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.\r\nPrototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.\r\nDevelop software for deployment and demonstration in vehicle-based proof-of-concept platforms.\r\nEvaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.\r\nCollaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.\r\nStay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.\r\nRequired Qualification\r\nMaster's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field\r\nStrong background in Computer Vision and Machine Learning\r\nHands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks\r\nExperience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures\r\nStrong programming skills in Python and C++\r\nExperience reading, reproducing, and extending recent AI/CV research publications\r\nFamiliarity with Linux development environments\r\nExcellent verbal and written communication skills\r\nPreferred Qualifications\r\nExperience with Foundation Models, Large Vision Models, and Multimodal AI systems\r\nExperience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.\r\nExperience with Generative AI and synthetic data generation.\r\nExperience developing software on embedded Linux systems.\r\nExperience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.\r\nExperience optimizing and deploying AI models on edge devices and automotive computing platforms.\r\nExperience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.\r\nExperience with ROS/ROS2, sensor fusion, or robotic/automotive systems.\r\nPublications in leading AI, robotics, or computer vision conferences are a plus.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:35:57.507Z","dateModified":"2026-07-16T01:35:57.507Z","hiringOrganization":{"@type":"Organization","name":"MSR Technology Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f15bc0f3a54451c5f2168549"},"url":"https://jobsearcher.com/jobs/f15bc0f3a54451c5f2168549"}}