The ad says“Good development skills in modern C++ and Python”
The ad says“Proficiency in ML libraries and experience in transformer and diffusion architectures”
The ad says“Basic understanding of generative models”
The ad says“Proficiency in ML libraries and experience in transformer and diffusion architectures”
The ad says“Good development skills in modern C++ and Python”
The ad says“Proficiency in ML libraries and experience in transformer and diffusion architectures”
Values
The ad says“Familiarity with AV simulation environments and driving datasets”
The ad says“Familiarity with AV simulation environments and driving datasets”
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
Preferred experience
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
