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Experience with deep learning optimization for edge deployment, including quantization, pruning, and knowledge distillation. We're currently looking for a tech lead with specialized skills in LiDAR, camera, and radar perception technologies to enhance our autonomous driving systems' ability to understand and interact with complex environments.
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The Principal/Senior System Engineer's focus is on improving reliability and robustness of the microfluidics electrochemical sensor device through failure analysis, root cause investigations, and identifying and supporting implementation of solutions.
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Celestial AI is seeking an experienced Systems Test Engineer to drive bringing up Celestial AIs ASIC test and bringup. Responsibilities will include identification and deployment of test instrumentation and bring up the test in collaboration with Firmware, ASIC, Photonics, Package and System engineers.
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You will play a key role in designing and developing the hardware for these systems and should be comfortable with defining complex electrical system architectures and hands on hardware bringup, debug, and prototyping.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Experience implementing production machine learning systems, working with large-scale datasets, and a solid understanding of machine learning theory. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Certification in one or more of the following technologies: Microsoft Azure Solution Architect, Microsoft Azure Administrator, Google Professional Cloud Architect, Google Associate Cloud Engineer, AWS Certified Solutions Architect Professional, AWS Certified Solutions Architecture Associate, AWS Certified SysOps Administrator Associate.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, and/or Reinforcement Learning. Research, design and implement scalable machine learning (ML) models for recommender systems, and/or other scalable computational models in an iterative product cycle.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Picarro seeks a skilled Software Engineer to join a team that is designing and building the next generation of integrated systems. Knowledge of Docker based containers and Kubernetes based orchestration systems.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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CAE Engineer, Lubrication - Drive Systems. Full-time The Drive System Engineering team is looking for an experienced CAE engineer to take charge of gearbox lubrication CAE work to assist lubrication design and lubricant development.
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About the Work Champion the specification, development, validation, and deployment of state of the art AI hardware at the core of Nuro's self driving stackArchitect high performance on-board computing, networking and vehicle interface systems in collaboration with sensor & vehicle hardware teams.
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As a Senior Site Reliability Engineer, you will be part of a fast-paced crew that develops and maintains NVIDIA's sophisticated internal cloud provisioning product for GPUs and Tegra systems.
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As a Sr. DSP Engineer on the Communications team, you will have the unique opportunity to shape the design of the first orbital MIMO radar imaging system. Work closely with ASIC/FPGA, RF/antenna, and software engineers to design and validate high-performance digital communication systems.
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We are seeking a skilled Systems Engineer Consultant to join our team to provide architectural governance and strategic guidance for the Microsoft Power Platform and Fabric environment. Bachelor's Degree and 8 years of experience in Systems engineer including systems programmer, scripting, troubleshooting OR High School Diploma or GED and 12 years of experience in Systems engineer including systems programmer, scripting, troubleshooting.
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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deployment systems engineer learning jobs Company: Clearancejobs in Mountain View, CA
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