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Shield AI

Builds autonomous aircraft for defense

Forward Deployed Engineer - Operations & Sustainment

Implementation & Technical Account ManagementUpdated on Nov 14
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience.
  • At least 5 years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role.
  • A strong technical background in software engineering, systems integration, or autonomy-adjacent systems.
  • Proficiency writing, reading, and debugging modern C++ code.
  • Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows.
  • Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows.
  • Strong problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments.
  • Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on.
  • Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments.
  • Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure.
  • Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements.

Responsibilities

  • Deploy with customers on site globally, with an expectation of up to 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products.
  • Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows.
  • Execute and improve deployment runbooks covering software installation, version and configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps.
  • Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows.
  • Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version and configuration state, asset context, operator notes, mission phase, and environmental constraints.
  • Drive issues through the support flow, including intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and the learning loop.
  • Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback.
  • Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.
  • Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds.
  • Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture.

Desired Qualifications

  • Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments.
  • Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments.
  • Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout.
  • Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments.
  • Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation.
  • FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience.
  • Experience using generative AI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation.
  • Active or prior security clearance, or eligibility to obtain one when required by program or customer need.

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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