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3 дня назад

Sr. Software Engineer - Mission Autonomy (Robotics)

Формат работы
onsite
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
Sr. Software Engineer - Mission Autonomy (Robotics): Building intelligent decision-making frameworks for autonomous robotic platforms with an accent on semantic scene graphs, mission planning, and LLM integration. Focus on designing language-driven robotic mission execution, integrating autonomy APIs, and validating safety-critical robotics software through unit and integration testing.

Location: On-site in Irvine, California, United States

Company

hirify.global develops autonomous robotic and AI systems for deployment in unstructured, previously unknown environments.

What you will do

  • Develop and integrate semantic scene graph world models for real-time spatial reasoning and context-aware mission planning.
  • Build natural language-driven robotic navigation and mission execution capabilities.
  • Design API frameworks connecting large language models with robotic autonomy stacks.
  • Implement language-based mission feedback handling and decision-making workflows.
  • Maintain and expand robotics testing frameworks with unit and integration tests for reliability, safety, and performance.

Requirements

  • PhD in Computer Science or a related field.
  • Advanced proficiency in Python, C++, ROS, Linux, and Git.
  • 5+ years of experience developing product-level AI software, such as state machines or behavior trees.
  • Strong problem-solving, communication, and ability to navigate complex software systems.
  • Ability to work independently while managing multiple priorities.

Nice to have

  • Experience with simulation environments such as Gazebo or Isaac Sim.
  • Experience with LLM-based decision-making frameworks in robotic systems.

Culture & Benefits

  • Work with a close-knit, interdisciplinary team focused on robotics and AI innovation.
  • Contribute to autonomous systems designed for real-world field deployment.
  • Collaborate with teammates based in the United States and globally.
  • Inclusive workplace committed to evaluating candidates based on merit, qualifications, and performance.

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