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Develop GPU-based image simulation pipelines including models for optics, sensor, and ISP. - Develop and maintain tools to generate large volumes of synthetic images on-demand. The Image Sciences team, a part of the Camera Hardware and Depth Team, develops novel metrology, calibration, and simulation processes to enable the implementation and architecture of machine-vision-driven and photographic experiences.
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Experience with SoC, RF (WiFi/BT), batteries, Audio, sensors integration, Display, custom ASIC/silicon, haptic interfaces, camera sensors, and high speed I/O. You will work cross-functionally with teams that will dynamically change depending on the problem and potentially include mechanical, optical, firmware, software, project management, and research experts.
$170,000 - $240,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keywords : electrical validation, hardware validation, bring up, test plan, I2C, I2S, MIPI, oscilloscope, probing, debug, sensor, camera, RF. · Experience executing electrical validation on the bench.
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In this role, you will split your time approximately 40%:60%, desk work: hands-on vivarium operations work. You are energetic and excited to work hands-on alongside your team, learning from and teaching each other.
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Experience in implementing and managing video camera systems (e.g., Genetec, CCURE). · Support and actively drive the organization toward greater diversity, equity, inclusion, and belonging with particular emphases on historically underrepresented and disadvantaged populations.
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Experience with remote sensing systems such as radar, camera, LIDAR or ultrasonic. In the Ford Advanced Driver Assistance Systems (ADAS) program, Ford’s Safety Electronics team designs and develops hardware, functional models, and software that provide Best in Class behavior for features like Adaptive Cruise Control, Automatic Emergency Braking, Cross Traffic Alert, Active Park Assist and 360 Camera Systems.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing perception systems using sensors such as Camera, Radar, and LiDAR. The team's primary focus is on developing compute-efficient, multi-view, multi-sensor deep learning models that can perform a wide range of tasks such as 3D object detection, lane line detection, state estimation, and scene segmentation.
$207,760 - $285,670 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Focus on the customer: As an IT Support Engineer, you are expected to be knowledgeable of customers' business and requests and use the information to drive higher levels of service and customer satisfaction.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad) Experience with extrinsic and intrinsic sensor calibration, including multi-camera systems.
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A bachelor’s or advanced degree in a life sciences field such as biology, chemistry, or a closely related discipline, or in a related field like scientific journalism or science communication. Present on science communication initiatives and strategies to Institute leadership and other stakeholders.
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The camera validation and integration engineer would be a highly competent hardware engineer, as well as having solid working knowledge of optics, CMOS image sensor, image quality, image signal processor, and software programming.
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Experience working with one of these technologies: digital signal processing, real-time image processing, camera modules, mobile SoC and PMIC, or Battery Management System. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
$85 - $95 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideal candidates will have background domain experience in classical computer vision techniques, machine learning as well as device and kernel level familiarity with edge camera systems. Hands on debugging skills using classic electronics tools such as oscilloscopes, multimeters etc.
$140,000 - $200,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position manages the research related care of these patients, assists in project initiation, facilitates patient enrollment, encourages patient retention in trials, reports to sponsors on progress/status, and coordinates study participation with other clinical care plans.
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At least 5+ years of hands-on experience in developing perception systems for autonomous vehicles, with a strong portfolio in LiDAR and camera-based perception, modern perception technologies, and synthetic data application.
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