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We are a small but fast-growing team bringing domain knowledge-aided computer vision and image processing to semiconductor manufacturing. 5+ years of industry or research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Image Processing.
$152,000 - $209,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical experience with the infrastructure necessary for the development and deployment of LLMs, NLP, Computer Vision, Image Processing, and generative AI methodologies. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.
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Strong quantitative data analysis abilities, using JMP, Matlab, or equivalent tools and familiar with relevant algorithm for image analysis and data analysis. Experience in one or more fields: in-line metrology and testing development, thin film fabrication and physics understanding/modeling, injection molding, manufacturing and testing in sensor and/or diffraction optics.
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The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA’s Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More specifically, you will: Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different Apple products Deploy Apple's massive computing platform with thousands of GPU's and CPU's ready just for you to establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation.
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At least 8 yrs of Product Engineering experience in image sensor or memory (flash, SRAM, DRAM) or ASIC products. Lead product introduction and ramp-up for image sensors and ASIC devices.
$105,600 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with CMS Image sensor characterization and design is a big plus. Responsible for complete electrical and optical characterization of various CMOS Image sensors. Knowledge of Analog/Mixed Signal/Digital CMOS circuits, CMOS fabrication process and CMOS device physics.
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Research and development in ultrasound signal, image, and sensor data processing for unique workflows. Direct experience in ultrasound image optimization and system development for general imaging applications (e.g. Abdominal, Small Parts, Musculoskeletal, Vascular, Pediatric, CEUS, and Color Doppler.
$100,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will explore novel LLM/LMM and image/video generation architectures and large-scale training techniques to advance the state-of-the-arts. You will be part of a world-class research team working on pre-training, fine-tuning, and aligning large language models, large multimodal models, and image/video generation models, in addition to keeping up-to-date to the latest progress and trends in LLM/LMM, image/video generation, and other foundation models.
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Experience of working with Scanning/Transmission Electron Microscopy images in the semiconductor industry highly desirable. You will be a member of the core team in Semiconductor Products Group (SPG), responsible for development and commercialization of all semiconductor fabrication equipment offered by Applied Materials.
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Manage and mentor a small group of data scientists and software engineers engaged in developing algorithms for time series and image processing. Support FDA regulatory requirements by following an established Product Development Process.
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Experience in machine learning, computer vision, and image/signal processing techniques, including a strong background in deep learning such as object recognition, object detection, semantic segmentation, NLP, sequential data processing, audio processing, etc.
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Knowledge of image and video processingHands-on experiences in deep learning (neural network, neural rendering, generative model, diffusion model, discriminative model, transfer learning, and one-shot or few shot learning.
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The position requires deep expertise in ADAS software development or ADAS software product management, with strong focus on Linux, QNX, BSP, Embedded Software and ADAS SW stack expertise, Automotive SW development , Safety/Systems Software expertise, camera sub-systems, image/video processing and machine vision.
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Documented experience with the infrastructure required for the development and implementation of Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Image Processing, or various generative AI techniques.
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image job in Cupertino, CA
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