Key Responsibilities:
- Define and evolve the security architecture across embedded, edge, and cloud components of Shield AI’s autonomy stack
- Drive adoption of secure software development practices, including threat modeling, secure code review standards, and automated static/dynamic analysis tooling
- Lead the design of cryptographic protocols, identity and access management systems, secure communication layers, and key management infrastructure
- Conduct architecture risk assessments and influence design decisions to minimize attack surfaces and improve defense-in-depth
- Collaborate with infrastructure, autonomy, and mission software teams to define policies for software update security, telemetry handling, and secure provisioning
- Partner with compliance and certification teams to align systems with NIST, FedRAMP, and/or DoD cybersecurity frameworks
- Serve as a technical point of contact for external security assessments, penetration testing, and red team exercises
Key Outcomes:
- System-wide Security Architecture: well-defined, modular security architecture adopted across autonomy, developer tools, and fielded systems
- Integrated Secure SDLC Practices: security design and validation embedded into the software development lifecycle and CI/CD pipelines
- Resilient Identity & Access Control: robust IAM, authentication, and secure communication protocols implemented across cloud, edge, and vehicle systems
- Attack Surface Reduction: system-level threat models maintained; critical vulnerabilities proactively mitigated
- Deployment Readiness: platforms hardened for operational use in contested and adversarial environments; Hivemind software products deployed into secure environments (e.g. FedRAMP, IL3/IL5/etc)
- Cross-Team Security Alignment: security requirements clearly communicated and tracked across product and engineering teams
Required qualifications:
- 10+ years in cybersecurity engineering or architecture
- Strong knowledge of modern cryptography, secure systems design, and authentication protocols
- Experience designing secure architectures for distributed, embedded, or autonomy-related systems
- Familiarity with CI/CD pipelines, static analysis, container security, and SBOM practices
- Proven ability to lead security initiatives across software and infrastructure teams
- Experience with risk assessment methodologies and adversarial modeling
Preferred qualifications:
- Strong programming and review skills in C++, Python, Go, and Typescript
- Experience in defense, aerospace, or critical infrastructure environments
- Knowledge of security certification processes (e.g., RMF, FedRAMP, NIST 800-53, DoD STIGs)
- Familiarity with secure boot, TPMs, hardware root of trust, and embedded device hardening
- Hands-on experience with secure telemetry, remote attestation, and anti-tamper design
- Background in red teaming, incident response, or forensic readiness
- Active security certifications such as CISSP, GSE, OSCP, or equivalent
Top Skills
What We Do
Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices in San Diego, Dallas, Washington, D.C., Boston, Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
Gallery
