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Software Engineer (Simulation)

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Description

  • The Scenario Simulation team is responsible for building a simulation engine that simulates the systems downstream of the perception system
  • The team works on realistic actor behaviors and other infrastructure tooling for generating diverse scenarios to validate Autonomy. You will have an opportunity to drive immediate user value while architecting advanced, AI-powered frameworks for long-term safety validation
  • 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

Benefits

  • Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
  • Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
  • Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
  • Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
  • Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
  • Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
  • Basic understanding of generative models
  • MS or higher degree in Computer Science, Machine Learning, or related field
  • Proficiency in ML libraries and experience in transformer and diffusion architectures
  • Good development skills in modern C++ and Python
  • 2+ years of Industry experience in ML and C++ software
  • Familiarity with AV simulation environments and driving datasets

Skills

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