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Shield AI

Applications Engineer, Autonomy (open level) - Remote

Remote (Remote)$130k–$280kfull time employeemidAdded today

About this role

Shield AI seeks a highly technical Applications Engineer to deploy and integrate Hivemind autonomy software for defense customers worldwide. This travel-intensive role combines hands-on problem-solving with direct customer collaboration, requiring strong programming fundamentals and a passion for real-world autonomy systems.

What you'll do

  • Deploy Hivemind autonomy software in customer environments and ensure successful integration
  • Provide on-site technical support and troubleshooting during multi-week customer engagements
  • Understand customer requirements and translate them into technical solutions
  • Collaborate with internal engineering teams to address deployment challenges
  • Travel frequently to customer sites, including international locations
  • Build and maintain customer relationships while demonstrating technical expertise

What they're looking for

  • C, C++, or Rust programming
  • Autonomy or robotics systems knowledge
  • Aerospace or defense technology familiarity
  • Problem-solving and troubleshooting
  • Customer communication and relationship building
  • Integration and deployment experience
  • Technical documentation and knowledge transfer
  • Initiative and self-direction in dynamic environments
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Shield AI

Shield AI develops autonomous defense aircraft platforms, including systems like the V-BAT, requiring sophisticated hardware integration and testing. The company is hiring mechanical engineers, electrical engineers, and supplier development specialists to design aircraft systems, develop test solutions, and manage aerospace supply chains.

View all jobs at Shield AI

Likely interview questions

  • Describe your experience deploying software systems in real-world customer environments. What challenges did you face and how did you resolve them?
  • Tell us about a time you had to troubleshoot a complex technical issue on-site with limited resources. How did you approach it?
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