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Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
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Prior experience with autonomous driving, sensor fusion or computer vision at scale. Prior experience with autonomous driving, sensor fusion or computer vision at scale. 3+ years of experience working with deep learning frameworks such as PyTorch and Tensorflow.
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We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. Job Responsibilities: As a software engineer, you will be part of a team working towards Xpeng Motors' autonomous vehicle vision.
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The ideal candidate has 5+ years of driving experience , ideally doing data collection for autonomous vehicles. This role will also require vehicle testing in off-road parks, so experience with off-road driving is required.
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Your work will directly contribute to making autonomous driving a reality and transform transportation. Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California.
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Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment.
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Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. About us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.
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Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Target candidate has experience leading complex, technical development efforts including management of build/test activity and vendor relationships to deliver high-quality product on-time.
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The ideal candidate has 5+ years of driving experience doing data collection for autonomous vehicles. The ideal candidate has 5+ years of driving experience doing data collection for autonomous vehicles.
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Experience in development related to autonomous driving and robotics, including Object Detection, Semantic Segmentation, Depth Estimation, and Transformer-based models. Network Architecture Search: We investigate methods for autonomously discovering optimal neural network architectures, specifically tailored for label generation from sensor and video data in autonomous driving contexts.
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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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The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
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The Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics. Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch.
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From developing behavior-aware autonomous driving systems, to personalizing BEV energy management, to designing new experiences for future vehicle concepts, NATC-SV staff are pushing boundaries in the pursuit of improving mobility for everyone.
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autonomous driving jobs in Mountain View, CA
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