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BS/BA (or a 3 year foreign degree, or degree with experience as evaluated by a Service, or the equivalent of degree as acceptable pursuant to the regulations for the H-1B) in Computer Science, Electrical and Electronics, Math, Engineering or Technology and 2 years relevant experience.
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Develops innovative solutions to complex engineering and manufacturing production problems through identification and implementation of advanced manufacturing processes including conducting process analysis, applying knowledge of product design, fabrication, assembly, tooling, and materials, conferring with suppliers, and soliciting observations from the operators/production technicians.
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Bachelor’s degree in Computer Science, Computer Engineering, or a related field plus 5 years of experience or, in the alternative, a master’s degree in Computer Science, Computer Engineering, or a related field plus 2 years of experience.
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Functional proficiency with CAD (Computer-Aided Design) software SolidWorks, Siemens NX UG (Unigraphics), CATIA, PROe (Pro/Engineer), Creo, or MATLAB. Knowledge of DFMEAs (Design Failure Mode and Effect Analysis), DVPs (Design Verification Plan), DFM (Design for Manufacturing), FEA (Finite Element Analysis), OEM (Original Equipment Manufacturer) release systems and procedures, vehicle dynamic evaluations, 2D drawing development and GD&T (Geometric Dimensioning and Tolerancing) application and bolted and welded joint applications.
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Excellent writing skills are also necessary to be successful Strong ability to perform research and data analysis Able to synthesize data and information collected for use by clients Strong computer skills are a plus, including but not limited to AutoCAD, Sketch-up, Adobe Suite and GIS. Ability to travel up to 25% of time to perform work outside of local geography.
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Experience with MITRE ATT&CK; Windows Event IDs; familiarity with Linux & Windows artifacts & interpretation; network topologies/architecture; basic malware analysis; incident response & threat hunting (at scale); Advanced Persistent Threats (APTs) tactics, techniques, and protocols (TTPs); computer forensics, digital forensics, memory forensics, Red/Blue/Purple Teams.
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Strong EE fundamentals, knowledgeable in digital design, low power design, DVFS, signal integrity, statistics, timing analysis, sampling, architecture, filters, and scripting. Work closely and proactively with other engineering teams such as system architecture, ASIC/PCB design, software/firmware, HW/SW QA and Applications Engineering to drive design, development, debug and release of next generations products.
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G Python, Ansible) Familiarity with devops philosophies, practices, and toolsExperience with network diagnostic, monitoring, and analysis tools (e.g. LogicMonitor) Sharp troubleshooting skills Organizational and mentoring skills What Desired Skills You'll Bring:Palo Alto Prisma SD-WANBSc/BA in Computer Science, Engineering, or a related fieldNautobot familiarity and use with automationMinimum Clearance Required to Start:Not Applicable/NoneThis position is part of our Corporate team.
$81,500 - $142,600 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics Developing efficient, scalable and repeatable processes to transform data into insight on regular basis Talent Needed for Success: Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering Previous experience as a data engineer or in a similar role 5+ years of Python development experience is necessary.
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Qualified systems engineers will have a background in IT, computer systems engineering, or systems engineering and analysis. Provide first- or second-level problem determination/ isolation and recovery support for Host Platform computer systems.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Computer Engineering/Computer Science, or related Systems Engineering technical discipline.
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Bachelor’s degree in computer science, Electrical Engineering, or related field. Perform in-depth analysis of bugs to accurately triage and prioritize issues. Strong understanding of network protocols (BGP, LLDP, ACL, SNMP), routing, and switching technologies.
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Bachelors degree in Computer Science, Software Engineering, Electrical Engineering or equivalent. Working knowledge of UNIX-based systems and command-line tools for analysis, and automation Excellent written and verbal communication skills.
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