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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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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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We are: We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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The successful candidate will have experience in analog and digital embedded design, power electronics, including both hardware (schematic capture and PCB layout) and firmware (C and ASM), preferably in consumer products or similar.
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Proactively build and maintain relationships with partner teams, including but not limited to Cyber Intelligence, Red Team, Insider Threat, and CSOC. Our analysts spend each day hunting for evidence of threat actor activity and working with engineering and security teams to improve our detection capabilities and security controls.
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Experience developing and programming embedded computing systems (ideally, both off-the-shelf devices such as Arduino and Raspberry Pi, and custom microcontroller circuits). Develop and test firmware for various embedded systems used in robotic prototypes.
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Our cyber teams use a wide array of technologies and skills such as embedded systems, microelectronics, threat intelligence, fuzzing, binary analysis, and network operations. You’ll be a part of a multi-disciplinary team building cross-mission solutions in cyber software development, such as reverse engineering automation, cyber forensic attribution tooling, fuzzing and emulation harness development, binary diversification, and more.
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Position Summary: As a Virtual Cyber Security Sales Engineer at our Client, you will play a pivotal role in driving the success of our cybersecurity solutions across the United States. Virtual Cyber Security Sales Engineer.
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2-5 years experience working in at least one of the following areas: Energy auditing, and/or energy services MEP Engineering Controls/Building Automation. An academic background in Engineering, with a passion for HVAC, building automation, or mechanical/electrical engineering.
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We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
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Join us and make your mark on the world of embedded software engineering! To support the growth and success of the RISE team and technology, we are looking for a highly experienced Principal Embedded Software Engineer to take the lead in shaping the future of embedded systems and own the architectural design and development of customer facing applications and deployments.
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Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties.
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Broad understanding of methods and tooling, fromtraditional (FastCV)to deep learning approaches(i.e. PyTorch,Jax,Tensorflow)and their deployment to embedded systems(Android, C. Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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Must have 7+ years of food packaging experience, which includes 5+ years of relevant management experience leading food packaging engineering in NPI process development and production scale-up.
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engineering embedded cyber intelligence jobs in Cambridge, MA
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