Jobs at Shield AI

Research, design, and implement discrete optimization and mission-planning algorithms for multi-agent autonomous systems; improve and maintain C++ mission-planning software; define technical roadmaps; mentor engineers; perform full software and hardware-in-the-loop simulations.

Provides first-line technical support for Hivemind software customers and field teams. The role collects evidence, analyzes logs and telemetry, triages software, deployment, configuration, API, licensing, and integration issues, routes cases to engineering or support owners, communicates customer updates, validates issues in lab or simulation environments, and creates troubleshooting documentation and knowledge-base content. It also supports releases, onboarding, deployment handoffs, and supportability metrics.

Lead and manage software proposals and purchase agreements for domestic and international customers. Own proposal lifecycle, develop compliant win strategies, author technical content (RFIs, abstracts, quad charts), maintain documentation configuration, create compliance matrices, manage cross-functional reviews, support cost proposals, and assist Account Executives to close deals by coordinating BD, engineering, program, product, and marketing teams.

Lead and continuously improve the companys SOX 404 program: design strategy, risk assessment, scoping, testing, and remediation. Partner with Finance, IT, Legal, and business owners to document controls, manage external audits, drive automation and ERP/GRC integrations, report to executives and Audit Committee, and establish policies, training, and a scalable SOX team.

Perform operational analysis, modeling, simulation, and wargaming to evaluate autonomous aircraft performance, survivability, and mission impact. Build and analyze mission-level models, run trade studies and sensitivity analyses, engage DoD stakeholders, inform CONOPS and system design, monitor threats, and produce technical reports and briefings. Apply reproducible analysis practices and collaborate with engineering and product teams.

Lead operational analyses and M&S to evaluate autonomous aircraft effectiveness, survivability, and mission impact. Build and run mission- and campaign-level models, perform trade studies and sensitivity analyses, engage DoD stakeholders, translate findings into system requirements and CONOPS, prepare technical reports/briefings, and coach junior analysts while applying reproducible, version-controlled analysis workflows.

Lead enterprise strategy and operations: develop multi-year strategic plans, build financial models for capital allocation, translate priorities into cross-functional execution with KPIs, and track performance to sustain execution velocity.

Lead multi-year strategic planning and annual operating cycles, evaluate portfolio tradeoffs, build financial models for capital allocation, and translate strategy into cross-functional execution plans with KPIs. Conduct market sizing, competitive analysis, scenario modeling, and track performance through operating cadences to identify bottlenecks and recommend solutions.

Lead enterprise systems and data architecture across business domains, define target-state architectures and integration patterns, rationalize shadow IT, guide sensitive-data placement in regulated multi-environment contexts, support major strategic programs, establish architecture governance and review practices, and coach engineering teams to raise architectural maturity.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Serve as the end-to-end Test Director for integrating, verifying, and flight testing Hivemind autonomy on small UAS. Own test readiness and execution, plan and run fly-fix-fly campaigns, set test strategy and success criteria, lead cross-functional teams, manage risk and safety-of-flight, define test infrastructure (SIL/HIL/simulation), approve procedures, document results, and report to leadership and customers.

Deploy, support, and sustain Hivemind autonomy products in field environments. Install/configure software, troubleshoot systems, capture evidence, produce runbooks and knowledge-base content, train customers, drive issues to resolution, and partner with engineering and program teams to ensure mission-ready operations.

Lead end-to-end revenue accounting under ASC 606, including contract review, revenue recognition, monthly close, reconciliations, order-to-cash process design, controls, audit support, and team mentoring. Partner cross-functionally to scale systems, automate workflows, and ensure accurate, timely revenue reporting across domestic and international contracts.

Administer Atlassian Cloud (Jira, JSM, Confluence); design workflows, automations, and governance; develop REST API/webhook integrations; manage Atlassian Access (SSO/SCIM); build advanced JQL dashboards and reports; support cloud migrations, audits, and enterprise system integrations.

Lead strategic technical sourcing for aerospace, autonomy, AI, and hardware engineering roles. Build market maps, talent intelligence, and long-term pipelines using advanced sourcing platforms and AI-powered workflows. Coach recruiters and partners, measure sourcing effectiveness, and scale repeatable sourcing systems to accelerate hiring for cleared and niche engineering talent.

Designs, builds, and runs a quarterly enablement engine for GTM: bootcamp curricula, facilitator-ready content, role-based learning paths, certifications, readiness assessments, and measurement to drive seller behavior and productivity.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design and develop primary and secondary structural components for a next-generation UAV. Perform CAD modeling, hand calculations, limited FEA, generate drawings and documentation, support validation and testing, collaborate with cross-functional teams, and iterate hardware through manufacturing and flight tests.

Design and develop primary and secondary structural components for a next-generation UAV platform from concept through production. Create CAD models and drawings, perform hand calculations and basic FEA, collaborate with cross-functional teams for system integration, support structural testing and validation, resolve manufacturing and flight-test issues, and produce engineering documentation in compliance with aerospace standards.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.