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Applied Intuition

Software Engineer - Low Speed Motion Planning & Control

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Summary

Designs and implements motion-planning and control modules that enable autonomous vehicles to navigate tight, low-speed scenarios, characterizing vehicle dynamics and reducing simulation-to-reality gaps. Core work involves nonlinear MPC, MPPI, optimal control, and high-performance C++ on production vehicle platforms.

You will design and implement motion-planning and control modules for accurate autonomous navigation in tight scenarios. You will characterize vehicle dynamics, reduce simulation-to-reality gaps, and apply research to create optimal-control solutions using nonlinear MPC and MPPI.

Responsibilities

  • Design and implement motion planning and controls modules for vehicle platforms
  • Characterize vehicle dynamics and create tailored controls solutions
  • Reduce the gap between simulation and real-world dynamics
  • Evaluate academic research and create optimal-control-based solutions using nonlinear MPC and MPPI

Requirements

  • Experience with motion planning or motion control problems
  • Bachelor's, MSc, or PhD in mechanical engineering or computer science with relevant coursework or research
  • 3+ years of production software experience using modern practices
  • Experience testing controls solutions on production-grade vehicles
  • Knowledge of control theory, numerical optimization, numerical analysis, and physics
  • High-performance C++ experience

Benefits

  • Equity
  • Health, dental, vision, life, and disability insurance
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off

Skills

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