Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The Hivemind Enterprise Team is seeking a Senior Application Security Engineer for our Hivemind Enterprise product.
The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms. Hivemind Enterprise is a highly technical software product providing tools and user interfaces to support multiple user personae, ranging from AI developers to test engineers.
What you'll do:
As an application security engineer for Hivemind you will join our cybersecurity engineering team to help define our application security policies, deploy and configure scanning tools within our CI/CD pipelines, review scanning results and work directly with our developers to identify and fix security issues in or code.
In addition, you will have the opportunity to help solve security issues before they start by working with our architecture team to design a secure-by-default software product, performing threat modeling, and validating designs meet our secure coding standards.
Required qualifications:
Bachelor’s degree with approximately 5+ years of relevant experience, or Master’s degree with approximately 4+ years of relevant experience, in cybersecurity, software engineering, or a closely related technical field
Experience developing or testing cyber secure code
Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes
Familiarity with threat modeling
Experience with software analysis tools, including static analysis, dynamic analysis, dependency mapping, CVE scanning, etc.
Comfortable working in a Linux development environment
Strong organizational, communication, and cross-functional collaboration skills
Basic understanding of key cryptography concepts
Preferred qualifications:
Previous experience on an application security team for a large, complex software product
Experience as a DevSecOps engineer, especially in a GitLab environment
Experience writing software or testing Python, C/C++, and/or Go
Red-teaming experience
Software reverse engineering skills
