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The Global Supply Manager at Waabi will lead the end-to-end supply chain of Mechanical and EDS hardware, negotiate contracts, create cost modeling strategies, manage spend categories, coordinate supplier selection, and implement process improvements.
As a Software Engineer at Waabi, you will contribute to developing scalable tools for Autonomous Vehicle (AV) technology, participating in architecture discussions and collaborating with multidisciplinary teams. You'll engage with production-quality software and have the opportunity to innovate in the realm of self-driving technologies.
As a Senior/Staff Software Engineer at Waabi, you will join a multidisciplinary team to develop scalable tools and frameworks for autonomous vehicle technology. Responsibilities include leading technical discussions, mentoring engineers, assisting in task planning, and fostering collaboration within the team.
Lead and own the creation, documentation, alignment, and verification of behavioral system requirements. Drive Waabi's safety culture through safety standards and methodologies. Continuously evaluate and enhance behavioral evaluation capabilities. Implement tools to streamline and automate behavioral requirement processes. Lead a team of experienced systems engineers.
As a Research Engineer at Waabi, you will develop sensor simulation software for autonomous driving, collaborating with a team of scientists and engineers. Your work will focus on building advanced multi-sensor simulation systems, enhancing content creation pipelines, and leveraging technologies like neural rendering and generative modeling.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
As a Senior/Staff Software Engineer specializing in Cuda Development, you will work on optimizing runtime performance for projects in the autonomous driving stack, deploying solutions on CPU/GPU devices. Collaborating with researchers, you'll enhance various capabilities related to neural networks and algorithms to advance self-driving technology.
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