Shield AI
Staff Systems Engineer, Cyber for Edge Systems (R3683)
Shield AI, San Diego, California, United States, 92189
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Staff Systems Engineer, Cyber for Edge Systems (R3683)
role at
Shield AI .
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.
Job Description Shield AI is seeking a Staff Systems Engineer, Cyber to lead the design and implementation of secure‑by‑design architectures across our autonomy software stack, developer tools, mission systems, and cloud‑deployed infrastructure. You will work cross‑functionally with engineering, product, infrastructure, and compliance teams to ensure that our autonomy platforms are robust against cyber threats, meet evolving security and assurance requirements, and are prepared for field deployment in adversarial environments.
This is a technical and hands‑on role focused on embedding security principles into software development lifecycles, designing resilient system architectures, and guiding the secure evolution of the Hivemind autonomy ecosystem and related platforms.
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
7+ years in cybersecurity engineering or architecture
Some 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 assist with security initiatives across software and infrastructure teams
Experience with risk assessment methodologies and adversarial modeling
Preferred qualifications
Proficient 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
Compensation $150,711 - $2,256,067 a year
Benefit Details 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.
Equal Opportunity Statement 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.
AI Hiring Tools We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Referral Program Referrals increase your chances of interviewing at Shield AI by 2x.
#J-18808-Ljbffr
Staff Systems Engineer, Cyber for Edge Systems (R3683)
role at
Shield AI .
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.
Job Description Shield AI is seeking a Staff Systems Engineer, Cyber to lead the design and implementation of secure‑by‑design architectures across our autonomy software stack, developer tools, mission systems, and cloud‑deployed infrastructure. You will work cross‑functionally with engineering, product, infrastructure, and compliance teams to ensure that our autonomy platforms are robust against cyber threats, meet evolving security and assurance requirements, and are prepared for field deployment in adversarial environments.
This is a technical and hands‑on role focused on embedding security principles into software development lifecycles, designing resilient system architectures, and guiding the secure evolution of the Hivemind autonomy ecosystem and related platforms.
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
7+ years in cybersecurity engineering or architecture
Some 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 assist with security initiatives across software and infrastructure teams
Experience with risk assessment methodologies and adversarial modeling
Preferred qualifications
Proficient 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
Compensation $150,711 - $2,256,067 a year
Benefit Details 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.
Equal Opportunity Statement 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.
AI Hiring Tools We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Referral Program Referrals increase your chances of interviewing at Shield AI by 2x.
#J-18808-Ljbffr