Venti Technologies

Singapore
Total Offices: 2
112 Total Employees
Year Founded: 2018

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Jobs at Venti Technologies
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Artificial Intelligence • Automotive
Deploy and integrate autonomous vehicle software, configure sensors, conduct testing, and provide field support for hardware and software issues.
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Design and develop reliable code for autonomous vehicles, implement advanced features, uphold code quality, and create technical design documents.
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The intern will perform calibration and testing of vehicle controllers, analyze performance, and use tools to support autonomous vehicle systems.
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The intern will develop simulation test cases, validate scenario accuracy, conduct simulations, track metrics, troubleshoot issues, and prepare reports.
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The intern will assist in the development, testing, and optimization of planning algorithms for autonomous vehicles, collaborating across teams to enhance performance and safety.
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Assist the engineering team with retrofitting vehicles, manage inventory, develop engineering systems, conduct testing, and provide technical support.
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The intern will assist in developing and testing localization algorithms for autonomous vehicles, focusing on LiDAR and Visual-Inertial Odometry.
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The role involves testing autonomous vehicle function modules, conducting tests, logging data, writing reports, and assisting in software deployment.
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Assist in managing sourcing, inventory, and supplier relationships. Support procurement tasks, coordinate logistics, and collaborate with teams.
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As a QA Engineer Intern, you'll analyze critical issues, conduct investigations on autonomous systems, optimize performance, and develop automation tools to enhance workflows.
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The intern will focus on map annotation, validation, and tool development for Autonomous Vehicles, working with various teams for testing and updates.
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The intern will implement off-board services for autonomous vehicles, working on backend/frontend development and collaborating with designers to create user-friendly applications.
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Lead the technical direction and system architecture for planning within the autonomy stack, focusing on algorithm development and system integration.
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Lead the development of planning algorithms for autonomous systems, ensuring safe navigation while mentoring a team and driving technical innovation.
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Architect and develop backend services for IoT fleet management and provide data models for optimization, security, and client SDKs.
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Oversee site operations, manage deployment teams, ensure safety compliance, support technical developments, and foster a positive culture within the organization.
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As an Autonomous Vehicle Test Engineer, you will develop and maintain test cases for autonomous functions, validate vehicle performance, and manage software updates, ensuring compliance and reporting.