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Analyze the complex system of an autonomous vehicle chassis platform regarding hardware and software fault metrics. As a Staff Safety Engineer you will be responsible for the comprehensive safety analysis of the vehicle chassis control systems of Gatik's autonomous truck platform.
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You will apply machine learning to Autonomous Vehicle perception, to develop features for our next generation autonomous driving platform. You will be challenged to improve robustness and accuracy of obstacle perception DNN models using multiple sensor modalities (e.g., camera, radar, and lidar) under challenging and diverse scenarios to fully enable autonomous driving anywhere and anytime.
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Previous experience in Validation and Verification at an autonomous vehicle company. Lead planning and execution of closed-course autonomous vehicle system testing. 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.
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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 Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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Enhance and develop FEA performance criteria and scope for component, subsystem and system levels based on (autonomous-) vehicle performance criteria. Lead structural component, sub-systems, and vehicle testing to correlate CAE models.
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The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help bring NVIDIA's autonomous vehicle solution out to the world. Sustainable Talent is searching for an Software Development Engineer, Test to support our client's Autonomous Vehicle team.
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Experience working in Autonomous Vehicle testing, evaluation, and data engineering. NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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Deep knowledge of Autonomous Vehicle and ADAS features. The Autonomous Vehicles team is searching for an experienced test technician / engineer to support our new autonomous driving features development.
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We are looking for a highly skilled Application Security Engineer to join us and solve real-world security problems designing, building and monitoring our Secure Software Development Life Cycle (SSDLC) process in the autonomous vehicle / robotics space.
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Your work will ensure that we deliver most reliable mass market autonomous vehicle solution. Optimize utilization of deep learning compute resources via quantization, pruning and other novel techniquesWork closely with software and test teams on development of algorithms/modules on simulation and on-target platformsMinimum Skill Requirements:Ph. D. degree or equivalent in Computer Science, Electrical / Mechanical Engineering, Applied Mathematics, Statistics or related field5 - 8 years + of experience in deep learning algorithms or autonomous driving industry.
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The selected candidate will work with inventors and the Patent team on a wide variety of technologies in the automotive sector, from electric vehicle technology to autonomous driving, software, and AI, and will contribute to expanding an intellectual property portfolio for that builds on Mercedes Benz’s industry-leading position in the automotive industry.
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Creativity and adaptability regarding data science approaches that provide safety case argumentation for an Autonomous Vehicle. Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous driving.
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NVIDIA is now looking for a vehicle integration engineer for its Autonomous Vehicle Operations team. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued.
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Simulation gives us the capability to test an autonomous vehicle in a near-infinite variety of conditions and scenarios before it even reaches the road, accelerating development time and improving the reliability of the self-driving stack at the same time.
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autonomous vehicle jobs in Mountain View, CA
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