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Research Engineer Mountain View, California, United States Apply - - Mountain View California
Company: Applied Intuition Inc. Location: Mountain View, California
Posted On: 01/25/2025
About the roleThe AI Research Team at Applied Intuition conducts world-class research for autonomous systems and closed-loop simulation, and creates scalable autonomy stacks from prototype towards mass production in a data-driven fashion. You will have access to driving data exploding from millions of miles with various scenarios from a diverse set of sensors to develop industry-leading models and techniques at scale. Improvements deployed to our system can immediately help our customers with their autonomy programs.In addition to your research contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!At Applied Intuition, you will: - Design and implement one of the following areas:
- Next-generation, data-driven ADAS stack with an end-to-end structure covering conventional perception, mapping, prediction and planning modules towards industry-leading performance
- Closed-loop simulation with sensory and behavior generation in a data-driven paradigm
- Conduct research for the differentiable stack on its architecture design, robustness and safety, language modality incorporation, close-loop simulation and its utilization
- Work closely with our ADAS stack engineering team to test and deploy the implemented end-to-end algorithms for mass production vehicles, or our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools
- Work closely with research scientists and intern students in the AI Research team towards high quality research publicationsWe're looking for someone who has:
- Deep hands-on experience with one of the following aspects:
- End-to-end (perception to planning) autonomy stack
- Multi-view perception based on Transformer with BEV representation and temporal fusion, based on real-world data with real vehicle tests
- 3D reconstruction, and diffusion model for sensory generation
- Closed-loop behavior generation with data-driven methods
- Passion for next-generation, scalable autonomy with data-driven, differentiable paradigm and large data/model deployment for real-world autonomous systemsNice to have:
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