Forward Deployed Engineer

New
F
Field AIField robotics
Remote, KR / Remote, JPFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
2-3 years of experience in software engineering, systems integration in Field Robotics industry.
Required Skills
PythonGitC++Linux

Requirements

  • Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field, or equivalent practical experience.
  • 2–3 years of experience in software engineering or systems integration in the field robotics industry.
  • Experience deploying complex technical systems in the field.
  • Proficiency in Python, C++, Git, and ROS.
  • Familiarity with Linux-based systems, containerization, and cloud infrastructure.
  • Strong troubleshooting and debugging skills across software, hardware, and networking layers.
  • Experience deploying, operating, or maintaining mission-critical systems in real-world environments is an advantage.
  • Experience with Jira, Wrike, Confluence, or other program management software tools is an advantage.
  • Ability to work directly with customers and translate their needs into technical solutions.
  • Willingness to travel and work on-site with customers as needed.

Responsibilities

  • Lead end-to-end deployment of autonomous systems in customer environments.
  • Configure and test systems to ensure they operate under real-world conditions.
  • Troubleshoot and resolve technical issues to maintain uptime and mission success.
  • Gather and analyze field feedback to identify improvements.
  • Work with product and engineering teams to drive enhancements into the core system.
  • Implement monitoring and diagnostic tools to support sustained reliability.
  • Train and support customer operators in achieving operational readiness.
  • Translate technical concepts into actionable workflows and bring customer insights to product and engineering teams.
  • Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
  • Contribute to scalable deployment practices and playbooks.
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