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Shield AI in Texas seeks an Autonomy Applications Engineer, Learning & Development to accelerate customer adoption of Hivemind through world-class technical training and enablement. This highly technical, customer-facing role combines mastery of autonomy software with creation of training content and leadership in-person engagements with customer engineers and stakeholders.
You will become a deep expert in the Hivemind software stack, develop and maintain labs, guides, and instructor-led
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
Shield AI is seeking an Autonomy Applications Engineer, Learning & Development to help accelerate customer adoption of Hivemind through world-class technical training and enablement. This is a highly technical, customer-facing role for someone who is equally comfortable mastering complex autonomy software, building cutting-edge training content, and leading in-person training engagements with customer engineers and technical stakeholders.
In this role, you will become a deep expert in the Hivemind software stack and serve as a trusted resource for customers learning to build autonomy with Hivemind. You will develop and maintain training materials, deliver instructor-led training, and help translate product complexity into clear, effective, mission-relevant learning experiences.
You will also work closely with internal engineering, product, and go-to-market teams to ensure training content stays aligned with the latest product capabilities and field feedback. This role is ideal for someone who enjoys teaching, building, and solving technical problems at the intersection of software, autonomy, and customer success.
This role includes approximately 30% travel for customer site visits specifically to facilitate in-person training engagements.
Senior: $130-$190k
Staff: $150-230k
This role sits at the front line of customer adoption for Hivemind. As an Autonomy Applications Engineer, Learning & Development, you will help customers build confidence in autonomy software, accelerate their ability to build autonomy with Hivemind, and shape how Shield AI trains the next generation of autonomous systems users. You will be both educator and engineer: teaching customers, building the materials that enable them, and helping bring advanced autonomy into real-world use around the globe.
$150,000 - $230,000 a year
Pay within range listed + Bonus + Benefits + Equity
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.