Software Engineer, Simulation
Responsibilities:
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Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.
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Contribute to tooling for migrating scenario creation using the traditional approach to AI-based scenario understanding and validation
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Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.
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Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.
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Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls.
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Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.
Required Qualifications:
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MS or higher degree in Computer Science, Machine Learning, or related field
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Good development skills in modern C++ and Python
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Proficiency in ML libraries and experience in transformer and diffusion architectures
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Basic understanding of generative models
Desirable Qualifications:
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2+ years of Industry experience in ML and C++ software
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Familiarity with AV simulation environments and driving datasets
Skills
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