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Shield AI

Builds autonomous aircraft for defense

Applications Engineer - Autonomy, Open level

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • Bachelor’s degree in Engineering, Computer Science, or a related field.
  • At least 5 years of industry experience.
  • At least 2 years of experience in an integration or applications engineering role.
  • At least 2 years of experience working in a startup environment.
  • Strong technical background in software engineering.
  • Strong proficiency in writing modern C++ code.
  • Intermediate proficiency in writing Python code.
  • Strong problem-solving and analytical skills.
  • Strong communication and interpersonal skills.

Responsibilities

  • Deploy with customers on site globally, with up to 25% travel, to support software integration and development activities.
  • Become an expert user of the Hivemind enterprise software stack and its autonomy modules.
  • Provide technical support and training to customers.
  • Develop AI and autonomy applications using the Shield AI enterprise software development kit.
  • Assist the sales team in pre-sales activities, including demonstrations, conferences, and immersions.
  • Assist in post-sales deployment and integration of Shield AI enterprise software products.
  • Develop and maintain technical documentation and training materials.
  • Help customers debug software and application programming interface integration issues.
  • Collaborate with the product engineering team to address customer feedback and improve products.

Desired Qualifications

  • Experience in the defense aviation or robotics industry.
  • Experience building and running a small enterprise software applications or solutions engineering team.
  • An advanced technical degree, especially in robotics- or autonomy-related fields.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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