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Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
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Compliance and Regulatory Requirements: Knowledge of industry-specific compliance standards (e.g., GDPR, HIPAA, PCI DSS) and regulatory requirements related to data privacy, security, and IT governance.
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Experience with project management software such as Prolog, Procore, E-Builder, Bluebeam, Microsoft Project, and Primavera Project Planner (P6). Founded in 2003, iParametrics is a recognized leader in emergency management, homeland security, cost estimating and data analytics for federal, state, and local clients, including the Department of Homeland Security (DHS), the Federal Emergency Management Agency (FEMA), the Department of Energy (DOE), the Department of Defense (DOD.
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Working engineering knowledge & awareness of the following routing technologies: Arista, CISCO IOS & Nexus, Juniper M/MX. Working engineering knowledge & awareness of the following Cloud & SDN technologies: Amazon Web Services, Microsoft Azure, CISCO ACI, VmWare NSX.
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PhD in Electrical Engineering, specializing in sensor interface or data converter circuits, MS with 5+ years of relevant IC design experience, or BS with 8 years of relevant IC design experience.
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The Entry-Level Digital Signal Processing (DSP) Engineer, based in our San Jose, CA facility, will be part of an innovative team that loves to translate the RF world into bits and the bits back into RF all with software.
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Our expertise covers a wide range of construction and general engineering specialties including: Sports & Recreational Facilities, Educational Facilities, Site Development & Heavy Engineering, Structural & Architectural Concrete, Solar & Renewable Energy, Stormwater Management and RABcrete TM Pervious Concrete.
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Big Data, Cloud Storage, Data Center Storage, HDD, Helium HDD, Backup Recovery, Data Federation, Virtualization, Personal Storage, Cloud Computing, SQL on SSD, SQL Data Storage, VDI, Flash Memory Storage, NVMe, Memory Card, Embedded Storage, USB Storage, SSD, Object Storage, Software, Storage Solutions, and Data Technology.
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Build tools for image processing and testing of SW/FW.Participate in design reviews of SW/FW and HW.Must have skills: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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This is a functional leadership role (not an IT position), working across the various finance functional teams and multiple IT engineering organizations in support of the financial systems and business processes for Quote to Cash, Source to Pay, Record to Report, Finance Data and Financial Planning & Analysis.
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The candidate will work on building, scaling, and monitoring Data science and ML hosting platform based on Databricks. The candidate will be responsible for defining and implementing our Data platform, Data science workbench with ML hosting technology strategies in the Cloud.
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Applicant must be pursuing a doctorate in materials science, chemical engineering, mechanical engineering, physics, applied mathematics, computer science, other engineering, or related field.
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Requires a Bachelor's degree in Computer Science, Information Assurance/Security, Cyber Security, Computer Engineering, Electrical Engineering, a related field, or a foreign equivalent.
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Bachelor’s or Master’s in Computer Science, Data Science, or a related field. Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite.
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The Staff Equipment Engineer must have strong equipment engineering background and experience with SolidWorks 3D Cad Design Software & PDM Systems. Degrees must be in electrical, mechanical, or related Engineering or physical science.
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data science software engineering jobs Title: manager Company: Apple in Cupertino, CA
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