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Semiconductor Capital Equipment & Processing) Make recommendations to customer to improve manufacturing processes for quality and cost. Experience in communications with customer as interface.
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2+ years’ expertise in Databricks, Apache Spark, Snowflake and/or similar data processing frameworks. Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities.
$150,900 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Mail Processor – Performs a variety of functions to accomplish the processing of mail. Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers.
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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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The Staff FPGA Engineer is a key team member in the Visualization Platform team, responsible for full design cycle FPGA development for video processing including alignment with requirements, unit test, documentation, regression testing, and functional verification.
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OSG works closely with many parts of the company and the candidate should anticipate frequent interactions with the digital ASIC team on digital signal processing aspects and with photonic integrated circuit, high-speed analog ASIC, and line-systems engineering teams.
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NVIDIA is hiring a Natural Language Processing Data Scientist within our new finance data science team in Revenue Finance. 8+ years of data science experience, with a focus on natural language processing.
$168,000 - $264,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
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Experience with quantitative image processing (OpenCV in Python and/or Image Processing Toolbox in MATLAB) is highly valued, but not required. Strong preference for candidates with broad experience in various spectroscopic and analytical techniques for chemical analysis (UV/Vis, HPLC-MS, FTIR, rheology, polymer characterization, etc.
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As an ASIC Design Engineer in the Pixel IP design team, you will work closely with many multi-functional teams (chip integration, physical design, power, logic design, and verification) to build commitment and low power pixel processing engines.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Qualifications: BSEE or MSEE, with experience in ASIC development and/or FPGA prototyping 7+ years of experience in RTL design using Verilog, SystemVerilog Understanding of Digital Signal Processing theory, and mapping to design Experience in WiFi Physical Layer, and/or other Physical layer like Cellular (WiMax, LTE, NR), Bluetooth, Zigbee, UWB, and/or other Physical layer (Ethernet) technologies Ability to work independently, and proactively identify and resolve issues.
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
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Extensive experience in experimental laboratory work using lasers, detectors, analog/digital signal processing and data acquisitions (DAQ) Familiarity with scientific data analysis tools, such as: MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc.
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