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Bachelor’s Degree in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering field from an accredited engineering program.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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Apply software engineering principles, concepts, theory, and practice with a focus on the unique aspects of embedded software based on cFS and embedded Linux. Experience with designing real-time, embedded Flight Software (FSW) and firmware (FW) for satellite systems is strongly desired, including NASA core Flight System (cFS.
$120,325 - $154,060 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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2+ years experience in at least one or more of the following areas: Diagnostic Imaging Post-Processing to include 3D reconstructions and analysis, Radiology Data migration and curation, Augmented Reality/Virtual Reality program development and modeling, CAD and 3D printing, computer programming, and/or big data/machine learning/artificial intelligence.
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in adjacent domain areas like network engineering, Infosec, software development for e-commerce, or work involving software for API's or web scraping. Experience in Data Sciences, Machine Learning, or Artificial Intelligence.
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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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GTest, GMock framework · Experience using Atlassian Tools or equivalent for software development · Familiarity with agile software development · Experience with software quality systems · Experience with real-time operating systems, microcontrollers, and RTOS · Experience deploying commercial embedded Linux systemsExperience Level:Expert LevelAbout Actalent Actalent is a global leader in engineering and sciences services and talent solutions.
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As a Senior Principal Embedded Software Engineer within the Software and Digital Technologies Organization you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation.
$127,000 - $190,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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SWCM provides innovative solutions through automation, continuous improvement, and a skilled workforce providing support for all digital computing products: embedded software, firmware/configurable logic, test equipment, simulation, Commercial-Off-The-Shelf (COTS) and tools.
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The ideal candidate will possess experience with embedded Linux operating systems, cross-platform development and build tools, embedded software development and the Linux wireless and networking stacks.
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