Waabi
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Lead software quality for autonomous vehicle planner architecture, developing fault-tolerant systems and improving reliability across motion planning and onboard software teams. Design motion planning software and decision-making algorithms for complex traffic scenarios, while managing experimentation and data-generation pipelines. Collaborate with multidisciplinary engineering and research teams to deliver safe, production-quality self-driving technology.
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Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.
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The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.
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The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.
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The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.
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The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.
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Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.
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Define verification plans and test methodologies for embedded platform components. Develop and maintain HIL/SIL test infrastructure, automate test execution and reporting, design tests to verify system functionality and performance, analyze data with Python/Matlab, and collaborate with partners to validate a safe autonomous driving platform involving sensors, compute, ECUs, and actuators.
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As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.
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The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.
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Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.
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Lead cross-functional platform integration programs, mapping dependencies across hardware, embedded software, autonomy, safety, and operations. Define integrated plans, track VnV and test campaigns, surface risks with data-backed mitigation options, own executive reporting, and build scalable processes, tooling, and dependency maps to deliver milestones on time at fleet scale.
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As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.
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As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.
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Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.
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As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.
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As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.
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As a Senior Perception Engineer, you will develop and deploy perception algorithms for self-driving vehicles, ensuring quality and collaboration within a multidisciplinary team, while publishing research findings.
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Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.
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Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.
