Software Engineer - Defense Tooling

Applied Intuition Applied Intuition · Robotics · Seoul, South Korea · Government

Software Engineer role focused on building simulation and AI tooling for autonomous defense systems. Responsibilities include designing and developing features, contributing to system architecture, mentoring junior engineers, and collaborating with US teams and customers. Requires experience with simulation platforms, ML training infrastructure, or developer tooling, and reinforcement learning frameworks.

What you'd actually do

  1. Design, develop, and maintain score features of Applied Intuition's defense tooling products, ensuring robust and scalable performance for defense-grade workloads.
  2. Collaborate frequently with US-based product and engineering teams to deliver features on shared roadmaps, operating as the Korea-based extension of the global product teams.
  3. Contribute to system-level design and architecture, ensuring scalability, reliability, and performance.
  4. Mentor and lead junior engineers, fostering their technical growth and ensuring team success.
  5. Participate in code reviews, testing, and CI/CD to maintain product-quality deliverables.

Skills

Required

  • Python
  • C++
  • software engineering
  • simulation platforms
  • ML training infrastructure
  • developer tooling
  • reinforcement learning frameworks
  • system-level design
  • architecture
  • code reviews
  • testing
  • CI/CD
  • problem-solving
  • English communication

Nice to have

  • ATR
  • drone swarming
  • path planning
  • aerospace control systems
  • aerial domain
  • unmanned autonomy stack development
  • closed-network / air-gapped deployment environments

What the JD emphasized

  • defense-grade workloads
  • simulation platforms, ML training infrastructure, or developer tooling
  • reinforcement learning frameworks
  • complex, multidisciplinary projects
  • customer-oriented environment
  • agile, high-frequency release cycles
  • English communication skills

Other signals

  • AI/ML tooling for defense
  • simulation platforms
  • ML training infrastructure
  • reinforcement learning