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Embedded Development, Real-Time, Linux Development, GNU Radio, virtualization, Docker, Machine learning, Kafka, MongoDB, Simulation Tools, Python, Perl, networking technologies) in Salt Lake City, UT.
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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 Senior Embedded Engineer will lead the design and implementation of testing of embedded systems and identify engineering trends to drive strategies and Milwaukee Tool's technical direction.
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Robotic Simulation with ROS, RVIZ, Unreal Engine, Unity, and Gazebo Machine Learning (ML) and Computer Vision (CV) Open-Source Frameworks Linux - As a user at least, but also administration and kernel development Distributed computing and inter-process communication (IPC) mechanisms RTOS for mission-critical applications Agile and Hybrid-Agile design methodologies Embedded Development in C/C.
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Seeking Test Engineering Manager where you will have overall responsibility for managing the evaluation, recommendation and implementation of testing procedures and strategies for software, products, systems and solutions in the Telematics, IoT and Full Stack spaces.
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Machine Learning | Data Science | Computer Vision | Technology | Government | Radio | Artificial Intelligence | Deployment | Production | Startup | AI | MLOps | Machine Learning Operations | AWS | Python | Radio Frequency | Embedded Systems | Signal Processing | TensorRT.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD. Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Mission Planning Engineer:This position is for an experienced professional engineer to become a member of the Software Engineering COE, as part of the Mission Planner (MP) Software development team.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning. A Research Scientist at Numerica should possess an M.S. or Ph. D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
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This position reports to the Engineering Manager - Software Development and/or Engineering Director - Software Development. Execution 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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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development.
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You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modeling, forecasting, and etc.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
software engineering embedded machine learning jobs Title: sr software quality engineer
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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