Shield AI is hiring a Field Solutions Engineer, Hivemind to support technical sales, customer engagements, demonstrations, and capture activities for Hivemind, Shield AI’s autonomy solution for intelligent, mission-capable unmanned systems. 

Hivemind enables autonomous operation across complex mission environments, allowing aircraft and other robotic systems to perceive, decide, coordinate, and execute with reduced operator burden. This role will serve as a customer-facing technical expert for Hivemind, helping defense and security customers understand how autonomy can solve operational problems, improve mission outcomes, and integrate into existing and future force structures. 

The Field Solutions Engineer will translate customer mission needs, CONOPs, operational constraints, and platform integration considerations into credible, technically feasible Hivemind solution concepts. This includes supporting customer discovery, technical briefings, demonstrations, RFIs, RFPs, white papers, technical interchange meetings, and customer-specific solution development. 

Success requires technical credibility, strong communication, product truth, and the ability to connect Hivemind’s autonomy capabilities to real customer missions across varied operational environments. 

Shield AI is hiring a Field Solutions Engineer, Hivemind to support technical sales, customer engagements, demonstrations, and capture activities for Hivemind, Shield AI’s autonomy solution for intelligent, mission-capable unmanned systems. 

Hivemind enables autonomous operation across complex mission environments, allowing aircraft and other robotic systems to perceive, decide, coordinate, and execute with reduced operator burden. This role will serve as a customer-facing technical expert for Hivemind, helping defense and security customers understand how autonomy can solve operational problems, improve mission outcomes, and integrate into existing and future force structures. 

The Field Solutions Engineer will translate customer mission needs, CONOPs, operational constraints, and platform integration considerations into credible, technically feasible Hivemind solution concepts. This includes supporting customer discovery, technical briefings, demonstrations, RFIs, RFPs, white papers, technical interchange meetings, and customer-specific solution development. 

Success requires technical credibility, strong communication, product truth, and the ability to connect Hivemind’s autonomy capabilities to real customer missions across varied operational environments. 

• Deploy with customers on site globally, with a minimum expectation of 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 install, version/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/configuration state, asset context, operator notes, mission phase, and environmental constraints. 
• Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and 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. 

• Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. 
• Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. 
• Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. 
• Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. 
• Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. 

• Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 
• 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. 
• 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. 
• Excellent 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. 

• 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 GenAI 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. 

Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. 

The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. 

This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. 

In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. 

As a Systems Integration Engineer, you will independently own the design, installation, and integration of aircraft systems and components while supporting the development of complete subsystem installations. You will collaborate across engineering disciplines to deliver manufacturable, maintainable, and reliable aircraft hardware.

The ideal candidate has demonstrated experience designing aircraft hardware and installation solutions and enjoys solving multidisciplinary integration challenges involving structures, avionics, propulsion, manufacturing, and production.

• Administer and support Atlassian Cloud products (Jira Software, Jira Service Management, and Confluence).
• Design, configure, and optimize workflows, schemes, automation rules, and governance controls.
• Develop and maintain REST API integrations, webhooks, and automation solutions.
• Build and manage integrations with enterprise systems (e.g., DevOps toolchains, CI/CD platforms, identity providers, and collaboration tools).
• Configure, manage, and support marketplace applications.
• Administer Atlassian Access (SSO, SCIM provisioning, and security policies).
• Design advanced dashboards, complex JQL queries, and executive-level reporting solutions.
• Implement and maintain data synchronization strategies between Atlassian and external systems.
• Perform system audits, health checks, and performance monitoring.
• Develop technical documentation, standards, and integration guidelines.
• Support cloud migrations and post-migration optimization initiatives.

• 3+ years of Atlassian administration experience.
• Strong hands-on experience with Atlassian Cloud environments.
• Proven experience with Atlassian REST APIs, webhooks and automation frameworks, ScriptRunner (or similar automation tools), and integration with DevOps toolchains.Advanced knowledge of Jira workflows, schemes, permissions, and configurations.
• Experience administering Atlassian Access (SSO, SCIM, and security controls).
• Advanced JQL expertise and dashboard/report development.
• Working knowledge of Agile/Scrum methodologies.
• Strong troubleshooting, analytical, and problem-solving skills.

• Experience writing scripts (Python, Groovy, or similar).
• Experience managing enterprise-scale environments (1,000+ users).
• Familiarity with ITIL, governance, and compliance frameworks.
• Experience with advanced reporting and analytics tools such as:
• Power BI integrations
• Tableau integrations
• Experience integrating Atlassian products with Microsoft Azure services (Azure DevOps, Entra ID, and CI/CD pipelines).

The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO’s vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI’s software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase).

The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens should-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the formercase, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization.