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Computer engineering, electrical, electrical engineering, electronic engineering, machine learning, photonics, processor, software. Electrical Engineers design equipment with the following subsystems: Heater control, Pressure control, 3 phase power delivery, DC power delivery, Cable harness development, Analog control, Digital control, EtherCAT, RS232, embedded controls, RF power delivery, filter development, integration of motion control, safety certification and creation of Software functional specifications.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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Our Package Design Engineering team is seeking a talented Staff Engineer with expertise in both thermal management and machine learning, based at our Milpitas, CA, USA site.
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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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As an emulation Product Engineer, you will be part of the world-wide Veloce team who work with emulation solutions for pre and post silicon validation, verification, and software bring-up of the industry’s most complex SoC designs using the latest advances in co-emulation technologies with Veloce TBX, VirtuaLAB, synthesizable testbenches (STB) and In-Circuit Emulation (ICE.
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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications:- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch), experience on improving core machine learning infrastructure.
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What we need to see:BS/MS/PhD in Physics, Math, Computer Science, Engineering or equivalent experienceStrong leadership skills, excellent communication abilities and collaborative attitudeProven understanding and experience of machine learning, deep learning technology, platforms and landscape Solid understanding and experience of Physics Informed Machine Learning for engineering and science simulations in one or multiple application domains.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Javascript, WebDevelopment FrameWorks like Reach, Svelte , Jenkins / Spinnaker, Artifactory, RESTful APIs, Elasticsearch, building machine learning systems is a plus. QualificationsREQUIRED:BS or MS degree in Software Engineering, Computer Science, Computer Engineering, or a related fieldExperience: BS with 2+ yrs.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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As a Lead MTS Verification Engineer, the candidate will be reporting to Sr. Manager Verification Engineering and is a Full-Time position. OVM, or UVMExperience in creating FPGA bitfiles for FPGA emulation/acceleration purposesFamiliarity with IP integration, IP core delivery, and handoff issuesData, software, and/or network security; cryptographyAbility to work with technical writers in the production of technical documentation.
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
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Capgemini Engineering has more than 55, engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for a Firefly model architect interested in working on generative AI models for image, video and multimodal to help us build the next generation of foundation models that power Adobe creative tools.
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engineering machine learning software engineer jobs Company: Apple in Milpitas, CA
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