Software Engineer, Simulation
Role summary
PlusAI is seeking a Software Engineer, Simulation to build and enhance an AI-powered simulation engine for autonomous trucks. This role involves simulating systems downstream of the perception system, focusing on realistic actor behaviors and generating diverse scenarios for validation. The ideal candidate will have proficiency in modern C++ and Python, experience with ML libraries, transformer and diffusion architectures, and a basic understanding of generative models. Desirable qualifications include 2+ years of industry experience in ML and C++ software, and familiarity with AV simulation environments and driving datasets. Join a fast-growing team at the forefront of autonomous vehicle technology.
Responsibilities:
Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.
Contribute to tooling for migrating scenario creation using the traditional approach to AI-based scenario understanding and validation
Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.
Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.
Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls.
Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.
Required Qualifications:
MS or higher degree in Computer Science, Machine Learning, or related field
Good development skills in modern C++ and Python
Proficiency in ML libraries and experience in transformer and diffusion architectures
Basic understanding of generative models
Desirable Qualifications:
2+ years of Industry experience in ML and C++ software
Familiarity with AV simulation environments and driving datasets
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