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3 дня назад

Senior Software Engineer (Autonomous Driving)

180 000 - 220 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Driving): Building behavior planning systems for autonomous vehicles operating in structured, low-speed airport environments with an accent on multi-agent interaction, decision-making under uncertainty, and real-time navigation. Focus on implementing high-frequency replanning, optimizing C++ and Python systems, and validating algorithms in simulation and real-world scenarios.

Location: Hybrid in South San Francisco or Atlanta; remote in Boston, Florida, or New York City; Colorado and Seattle are also listed.

Salary: $180,000–$220,000 annually in San Francisco, New York, and Seattle, plus equity.

Company

hirify.global develops autonomous ground-handling solutions for airlines and ground service providers, combining autonomous vehicle technology with a robotics-as-a-service business model.

What you will do

  • Develop and implement behavior planning algorithms for autonomous vehicles operating in dynamic airport environments.
  • Design, implement, and maintain efficient, scalable C++ and Python modules for the behavior planner.
  • Contribute to software architecture and continuous improvement of planning systems.
  • Test and refine planning algorithms in simulated environments and real-world scenarios.
  • Analyze system performance, reduce latency, and implement improvements based on data and feedback.
  • Coordinate with autonomy and other engineering teams and maintain documentation of code, algorithms, and system designs.

Requirements

  • At least 3 years of industry experience in autonomous driving, robotics, or a related field.
  • Proficiency in modern C++ and object-oriented programming.
  • Strong Python skills for prototyping and testing.
  • Deep understanding of behavior planning, including state machines, behavior trees, and probabilistic planning.
  • Experience with path planning methods such as A*, RRT, or optimization-based approaches.
  • Master’s degree in Computer Science, Robotics, or a related field.

Nice to have

  • Experience with ROS or ROS2.
  • Knowledge of machine learning for behavior prediction and planning.
  • Experience implementing high-frequency replanning for dynamic environments.
  • Expertise in D*, Rapidly-exploring Random Trees, optimization techniques, or probabilistic models.
  • Master’s degree or PhD focused on planning, optimization, or control theory.

Culture & Benefits

  • Work on a market-defining enterprise product for autonomous airport ground operations.
  • Collaborate closely with the autonomy engineering team and cross-functional engineering groups.
  • Opportunity to contribute to a Series A product backed by venture capital investors in aviation and autonomous driving.
  • Equity offered in addition to salary.

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