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Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help develop the next generation of system on chip (SoC) products for autonomous driving. At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving.
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Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving.
$116,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Are you a strategic and driven product management and marketing professional with experience in the automotive industry, specifically in ADAS and autonomous driving compute platforms and AI SOCs.
$190,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AWS is looking for an Automotive & Manufacturing Business Development (BD) leader capable of driving market development for the Autonomous Driving/ADAS workload area leveraging the richness of the AWS cloud computing platform to address transformational opportunities with customers and partners in automotive and manufacturing.
$133,200 - $220,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Parking Software Development team is part of the Autonomous Driving team at MBRDNA, and part of the global Mercedes-Benz R&D development team. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Research areas encompass a wide range of topics in the areas of Foundation Models, such as building LLM from scratch, RLHF, multi-model generative modeling, scalable end-to-end models for Autonomous Driving etc.
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Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving. Previous experience in autonomous driving or robotics is a plus. Work closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack and conduct comprehensive system tests to ensure reliability and safety.
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The work is focused on developing research concepts and prototype software that provides autonomous Air Traffic Management (ATM) services to all types of airspace users that will enable safe integration of autonomous vehicles into the National Airspace System.
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Working closely with customers, OEM and Tier1 companies, the successful candidate will understand the market dynamics of ADAS and autonomous driving systems and distill the product requirements for our SoC and platform solution as well as anticipate on the industry trends and technology.
$200Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We're looking for an experienced software test engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack. Among your responsibilities will be creating and executing test plans for end-to-end software testing for autonomous driving.
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The Interdisciplinary Aerospace Engineer will support aeronautics research within the Aviation Systems Division (Code AF) at NASA Ames Research Center. Conduct research, development, and evaluation of advanced air traffic control and management automation concepts.
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You and your team will help advance NVIDIAs leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
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It’s an open and modular platform running the NVIDIA DRIVE OS, and when coupled with supported sensors and accessories, enables manufacturers to build autonomous driving functions and in-vehicle AI applications.
$220,000 - $419,750 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Join a rapidly growing, well-funded startup specialising in AI inference computing for autonomous vehicles as a Senior ASIC Design Engineer. As a Senior ASIC Design Engineer, you will be responsible for a range of tasks including microarchitecture design and documentation, RTL implementation, and more.
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We are looking for an experienced Research Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You’ll be working across our research team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.
$150Full-timeExpandApply NowActive JobUpdated 3 days ago
autonomous job Title: engineer development Company: Nvidia in Santa Clara, CA
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