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We are looking for a skilled & experienced DevOps Engineer to join our AV Infrastructure & DevOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.
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As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team in Santa Clara, CA, USA. As a member of our team you will develop key features for our autonomous driving platform.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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How to grow their technical knowledge in areas such as simulation, development in the cloud (continuous integration and continuous development), verification and validation, and autonomous vehicle development in order to drive more effective and efficient discovery.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Buyer/Planner will partner with the Commodity Planner and Strategic Sourcing Manager to ensure that all facets of the Commodity Supply Chain are set up accurately and functioning properly.
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We use cutting-edge technologies to enable end to end supply chain digitization. Our dedicated team collaborates closely with the Product team to architect and uphold cutting-edge technologies that power our core platform, customer-facing API’s, and real-time events processing tailored specifically for the challenges in the supply chain industry.
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As part of the Supply Chain organization, you will act as a Supply Chain Manager for a novel type of aircraft development targeting the autonomous UAM market.
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Previous hands-on experience installing, troubleshooting, and updating autonomous vehicle hardware is a requirement. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued.
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Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Apply cutting-edge computational geometry, image processing, computer vision and machine learning to tackle the long tail of real-world situations.
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As a data analyst, your role is to identify corner cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field; resolve corner cases with creative methods by leveraging in-house toolchains and work closely with Machine Learning Engineers and Annotation Team to apply principals of data-centric AI to resolve real-world problems.
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Are you an ASIC Design Engineer that is on the market for a new opportunity at a highly funded and expanding startup, working on cutting edge projects at the forefront of autonomous driving and AI as a whole.
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Collaborate with cross-functional teams (process R&D, analytical development, supply chain, quality, clinical, regulatory, DMPK, and tox) to meet CMC and program goals. Leadership experience in late-stage product development, scale-up, tech transfer, and process optimization of solid oral dosage and parenteral formulations is a plus.
$108 - $118 an hourFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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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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As a Staff Electrical Engineer you will be responsible for the design, validation and manufacturing of the electrical vehicle chassis components of our autonomous vehicle platform.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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cutting edge a plus supply chain autonomous vehicle jobs in Santa Clara, CA
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