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Design and develop mechanical systems for autonomous trucks, ensuring integration with OEM vehicles and collaboration with cross-functional teams.
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Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.
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Oversee and manage public company securities compliance, advise on disclosures, coordinate investor communications, and support governance matters.
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Develop and integrate autonomous software for on-vehicle platforms, focusing on performance, fault detection, and validation strategies.
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Lead external reporting processes for SEC filings, ensure compliance with regulations, design internal controls, and collaborate across teams.
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Lead and manage a team in developing safety-critical software for self-driving vehicles, focusing on motion planning and forecasting.
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The Senior Software Engineer will enhance mapping infrastructure, develop large-scale map systems, optimize performance, and collaborate with cross-functional teams.
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The Senior Accounting Manager oversees accounting operations, ensures compliance with GAAP, and develops internal controls while mentoring the accounting team.
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Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.
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As a Functional Safety Manager, you will define safety goals for autonomous vehicle systems, perform reviews, and work with engineering teams.
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Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.
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The Software Engineer will design scalable ML workflows for AV simulations, develop and maintain simulation frameworks, and collaborate on AI-powered scenario creation and validation.
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Support the development of systems engineering tools, AI chat interfaces, and coding prototypes for autonomous vehicle processes.
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The Systems Engineering Intern will assist in feature engineering for ADAS/AV systems, focusing on standards integration and tool development.
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As a Reinforcement Learning Planning Research Intern, you will develop a Safety-Critical Trajectory Correction module for autonomous vehicles using deep reinforcement learning to enhance safety in navigation.
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Contribute to the design and implementation of an automated Map Change Detection Pipeline for autonomous vehicles, focusing on LiDAR-based localization and mapping algorithms.
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Intern will work on Vision-Language models for strategic decision-making in autonomous driving, focusing on knowledge distillation techniques for model deployment.
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As a Deep Learning Intern, you'll develop technologies for detecting emergency vehicles using deep learning techniques and collaborate to integrate these solutions into the production stack.
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As a Perception Intern at PlusAI, you'll develop and benchmark deep learning techniques for object detection and collaborate with experts to optimize perception systems for autonomous vehicles.
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Assist in automating test report generation and analyzing Safety Processor functions in autonomous driving systems. Document data analysis results and ensure compliance with requirements.
