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3 часа назад

Senior Software Engineer (Autonomous Vehicles)

160 800 - 193 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Autonomous Vehicles): Developing planning, prediction, and decision-making systems for autonomous trucks with an accent on trajectory generation and motion planning algorithms. Focus on building production-quality software in C++ and validating complex autonomy behaviors across simulation and real-world environments.

Location: Must be based in the U.S. or Canada (Hybrid options available in Ann Arbor, MI; Fort Worth, TX; Blacksburg, VA).

Salary: $160,800–$193,000 USD

Company

A pioneer in autonomous driving technology since 2007, now part of the Daimler family, focused on developing software for automated freight trucks.

What you will do

  • Design and maintain planning and prediction systems, including trajectory generation and decision-making algorithms.
  • Develop production-quality software using modern C++ in a Linux environment.
  • Collaborate with cross-functional teams including Safety, Controls, Perception, and Simulation.
  • Execute validation strategies across SiL, HiL, and ViL environments.
  • Debug vehicle behavior by analyzing system performance and implementing software improvements.
  • Mentor junior engineers through technical guidance and code reviews.

Requirements

  • Must be based in the U.S. or Canada.
  • Bachelor’s degree in CS, Robotics, or related field with 5+ years of experience (or Master’s with 3+, PhD with 1+).
  • Strong proficiency in modern C++ development within Linux environments.
  • Experience developing robotics, autonomous vehicle, or complex real-time software systems.
  • Experience with motion planning, behavior prediction, or decision-making capabilities.
  • Strong understanding of software engineering fundamentals and scalable development practices.

Nice to have

  • Experience with optimization techniques like Model Predictive Control (MPC).
  • Experience applying machine learning techniques such as reinforcement learning or imitation learning.
  • Proficiency in both C++ and Python.
  • Experience with large-scale autonomy validation and simulation platforms.

Culture & Benefits

  • Competitive compensation package including bonus and stock options.
  • 100% paid medical, dental, and vision premiums.
  • 401K plan with 6% employer match.
  • Flexible schedule and generous paid vacation.
  • Collaborative, energetic, and team-focused environment.

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