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Required Skills: Experience with GPU architecture design and performance optimization 10 years of system engineering and system integration for Linux OS Strong knowledge of computer hardware architecture relating to Linux systems Knowledge of parallel computing, graphics algorithms, and real time rendering in Linux environments GPU debugging tools and profiling software familiarity (NVIDIA Nsight Compute, CUDGDB, RenderDoc, Intel VTune Profiler, etc.
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Deep understanding of marine systems, ocean systems engineering, including machinery, electrical, HVAC, propulsion, mission systems, underwater cable deployment and other shipboard systems.
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QUALIFICATIONS FOR A ROADWAY ENGINEER Bachelor of Science degree in civil engineering Professional engineer registration 5+ years of highway design experience Experience using MicroStation computer-aided design and drafting (CADD) software to develop plans, profiles, typical sections, cross sections, and quantity take-offs for construction phase estimates on highway design projects for the Virginia Department of Transportation (VDOT) or other Virginia localities would be a plus.
$83,200 - $87,360 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 6 years of experience in software engineering (Internship experience does not apply.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Participate in and sometimes lead design sessions and code/script reviews with peers to elevate the quality of engineering across the organization with respect to packaging software to be distributed, different detection methods, and scripting to carry out different tasks and troubleshoot devicesProvide business and IT customers with operational support for our different MDM (Mobile Device Management) solutions (Intune, Ivanti, SCCM, etc.
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Interface with systems, harness, software, and electrical/RF engineering teams to inform spacecraft/payload mechanical design and layout. While mechanically focused, your role will involve working closely with the Electrical, RF, Software, and Systems teams.
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Duties:Conducting patent preparation and prosecution in the areas of electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Core Responsibilities: The Senior Electrical Engineer will straddle engineering work in the domains of electrical, RF, and software engineering and will design primarily at the schematic and layout level.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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As an individual contributor, you will collaborate with professionals in Transportation, Engineering, Software Development, and Artificial Intelligence to produce marketing, communications, and branding products that advance research, shape the industry's future, and encourage adoption of intelligent transportation systems and automated vehicle technologies.
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Collaborate with the LMS Analyst and Learning & Development Assistant to ensure seamless program delivery via the learning management system. Proficiency in the application of instructional design, curriculum design, adult learning principles, and measurement strategies.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Background in large application software engineering.
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Candidate for a graduate degree, in an engineering or science discipline such as electrical engineering, mechanical engineering, aerospace engineering, materials science, chemistry, or physics.
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electrical engineering machine learning software engineer jobs Company: Apple in Arlington, VA
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