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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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Expertise in AI Software Engineering: Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI. Proven Leadership: Experience in delivering large-scale, complex software systems and building high-performance teams with a focus on servant leadership.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Embedded Systems Engineer II will collaborate with global Engineering and Operations teams to apply a platform use approach to all new designs while gathering and implementing design considerations for use in multiple product categories.
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WORKING RELATIONSHIPS:This position reports to the Engineering Manager - Software Development and/or Engineering Director - Software Development. PRIMARY RESPONSIBILITIES: of full development lifecycle including: Requirements Analysis, Software Architecture, Software Design, Algorithm Design, Unit Test Development, Integration Test Development, Embedded Software Development, Software Verification and Validation.
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With Software Project Engineering to meet development milestones and deadlines. · with Software Test to validate software function and quality. SECONDARY RESPONSIBILITIES:Maintain knowledge of company electrical, mechanical, test, and manufacturing practices and engineer consistent with them.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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This position is for a Test Engineer to support product development, implementation of test equipment and test methods for Reliability Engineering. This role will provide onsite test support in Greensboro, NC.What You Will Do (Job Responsibilities) ·Designs & builds Reliability / Systems Lab test hardware and software using PLCs, National Instruments hardware/software, discrete components, and test equipment.
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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We are looking for a Wireless Software Test Engineer with expertise in Bluetooth and Wi-Fi embedded development and testing environments. From Space to C-UAS & Autonomous Systems to Electronic Warfare & Cyber, and Artificial Intelligence, at our company there is no limit to where you can take your career.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Research areas of interest include field robotics, automation and autonomous systems, adaptive learning systems, artificial intelligence, internet of things (IoT) and electric vehicles.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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software engineering test engineer artificial intelligence jobs Title: systems engineer Company: Modern Technology Solutions Inc Mtsi
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