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HomeCompaniesShieldaiStaff Applications Engineer, Learning & Development (R5053)

Staff Applications Engineer, Learning & Development (R5053)

Shieldai · United States · On Site · Active · $150,000–$230,000 / year · Lever

Job facts

FieldValue
CompanyShieldai
TitleStaff Applications Engineer, Learning & Development (R5053)
Normalized title-
Department / teamHivemind Solutions Division / Applications Engineering
LocationUnited States
Work modelOn Site
Employment typeFull Time Employee
Salary$150,000–$230,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-05-28 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Shieldai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Hivemind Solutions Division.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyShieldai
Source6d55b205-70f9-48ea-ac2f-da1c04a3da67
ATS providerLever

Description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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. Job Description: 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. #LI-EW1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: 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. What you'll do: Become an expert user of the Hivemind software stack and workflows Lead in-person and hands-on customer training engagements for Hivemind software Develop, maintain, and continuously improve high-quality technical training materials, guides, labs, and instructor-led content Train customer engineers and technical teams to effectively use Hivemind software and build autonomy applications Help customers troubleshoot software usage issues and support debugging of in training contexts Collaborate closely with engineering and product teams to incorporate customer feedback into training content and product improvements Develop and maintain technical documentation and learning resources that help scale customer adoption Help define best practices for autonomy training and customer enablement across Shield AI deployments Represent Shield AI as a technical educator and product expert, helping drive the global proliferation of autonomous systems You should apply if: You enjoy teaching highly technical material and can turn complex software concepts into clear, engaging learning experiences You are energized by customer-facing work and enjoy facilitating in-person training engagements You have strong engineering fundamentals and can build credibility quickly with technical users You are comfortable operating with autonomy and ownership in dynamic customer environments You enjoy working across engineering, product, and customer teams to improve both user outcomes and product adoption You are passionate about or have great interest in autonomy, robotics, or defense technology Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related technical field 7+ years of relevant experience 3+ years of experience in an applications engineering, integration engineering, solutions engineering, technical training, technical enablement, or similarly customer-facing technical role Strong technical background in software engineering Strong proficiency with modern C++ Experience with Python in a professional setting Excellent communication, presentation, and interpersonal skills Strong problem-solving and analytical skills Clear interest in being an educator engineer who enjoys instructing technical users and developing their capability Ability to travel approximately 30%, including occasional international travel a Preferred qualifications: 3+ years of experience working in a startup environment Experience in the defense, robotics, aerospace, or autonomous systems industry Experience developing technical documentation, training materials, or instructional content for complex technical products Experience designing hands-on technical labs, workshops, or instructor-led training programs Why this role matters: 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.

Full job record

Job IDa68f4992d34dfdaff59cb0f370fe7da7f68ff28c
Org IDd949636a-8984-44c3-b786-01eba53cd619
Source ID6d55b205-70f9-48ea-ac2f-da1c04a3da67
Board ID6d55b205-70f9-48ea-ac2f-da1c04a3da67
Providerlever
Provider Job Keyca142049-83c4-40bf-9522-3e323d4c3672
TitleStaff Applications Engineer, Learning & Development (R5053)
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentHivemind Solutions Division
TeamApplications Engineering
Employment TypeFull Time Employee
Workplace Typeon_site
Remote Policy
CountryUnited States
Region
City
Salary RawUSD 150000-230000 per-year-salary
Salary Min150,000
Salary Max230,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/shieldai/ca142049-83c4-40bf-9522-3e323d4c3672
Apply URLhttps://jobs.lever.co/shieldai/ca142049-83c4-40bf-9522-3e323d4c3672/apply
First Seen At2026-05-29 07:00:33Z
Last Seen At2026-06-06 07:56:06Z
Last Checked At2026-06-06 07:56:06Z
Last Changed At2026-06-03 12:28:11Z
Inactive At
Source Posted At2026-05-28 20:47:51Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=shieldai/date=2026-06-06/2026-06-06T07-56-03-095Z-dafa42e0947b7593adb56a07121d27ed8112dbacd07fba63ef2ce96b9b4ed0f8.json
Event Fields
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  "last_changed_at": "2026-06-03T12:28:11.245Z",
  "active_status": "active"
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Parsed Structured
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Extensions
{}
Native Structured
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      "text": "What you'll do:",
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