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Cepton (Nasdaq: CPTN) is a Silicon Valley innovator of lidar-based solutions for automotive (ADAS/AV), smart cities, smart spaces, and smart industrial applications. With its patented Micro Motion Technology (MMT), Cepton aims to take lidar mainstream and achieve its vision of safe and autonomous transportation for everyone.
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Design and develop advanced AI/ML, computer vision and geospatial models for complex environmental challenges using diverse data i.e., Satellite, Lidar, and refine methodologies for accurate and efficient processing of 2D/3D data.
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Experience in designing/architecting and implementing scalable solutions on geospatial datasets i.e., Satellite / Lidar. Experience in cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark is highly desirable.
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5+ years in Design Engineering, specifically with LiDAR and high-speed, mixed-signal experience. Requirements: 5+ years of Design, Schematics, LiDAR, High-Speed, Python, MATLAB, Optics, Imaging.
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Architect and implement scalable data processing platform for managing large-scale, heterogeneous geospatial data, including satellite imagery, LiDAR data, weather information, and enterprise datasets.
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The Laser Engineering Team in Camera Semiconductor Technologies (CST) team is responsible for all research, design, development, test, and qualification of core laser technologies being used in Face ID and LIDAR scanner for Apple products.
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Omni Design Technologies is a leading provider of high-performance, ultra-low power IP cores in advanced FinFET nodes to 28nm, that enable differentiated systems-on-chip (SoCs) in applications ranging from 5G, wireline and optical communications, LiDAR, radar, automotive networking, AI, image sensors, and the internet-of-things (IoT.
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Summary: The Camera Semiconductor Technologies group is responsible for all research, design, development, test, and qualification of core technologies that enables revolutionary features on Apple products, such as Face ID and LiDAR Scanner.
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Nice to have:Experience with data / sensor driven experiences like Lidar, mobile, AR/VR, IoT, or similar. Knowledge in 3D tools such as Blender, Houdini, CAD, Unreal Engine, Unity, or similar software.
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Experience with hardware and software components of perception systems (Radar, LiDAR, and/or Camera) Good knowledge in the fields of: Loss function and regularizer design, quantization, multi-task learning, knowledge distillation, NN compression, CNN/DNN hardware acceleration, and in-depth understanding of the implication of architectural model design decisions, as ell as (3D) Object Detection, Segmentation, Depth Estimation.
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Hands-on experience with signal processing, data analysis, machine learning models, or platform development in radar, lidar or equivalent. Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
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Working on manual iOS and visionOS testing, you will be responsible for assessing the quality of new and existing AR and Spatial Computing algorithms which run on devices with LiDAR sensors. Interested in Computer Vision, Augmented Reality, Virtual Reality or Spatial Computing.
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Our dynamic portfolio – including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi – powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon.
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Founded in 2016 and led by industry veterans with decades of collective experience across a wide range of advanced lidar and imaging technologies, Cepton is focused on the mass-market commercialization of high-performance, high-quality lidar solutions.
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Proficient in mapping, SLAM, and multiple view geometry using camera and lidar. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the co-founders set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them.
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lidar job in San Jose, CA
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