Senior System Security Engineer (SSE)

General Dynamics Mission Systems, Inc•Salt Lake City, UT

10d•$142,407 - $150,195

About The Position

The Senior Systems Security Engineer serves as a senior technical contributor for assigned weapon-system security subsystems. The role leads subsystem security architecture, requirements, analysis, and verification activities while coordinating with customers, Government assessment laboratories, internal security red teams, and external suppliers. A successful candidate will possess implementation-level knowledge of vulnerabilities and countermeasures across embedded systems, including microcontrollers, FPGA-based systems-on-chip (SoCs), ASICs, and workstation-grade single-board computers. GDMS is equally interested in physical and virtual threat vectors.

Requirements

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience.
Ability to obtain a Department of Defense Secret security clearance is required at time of hire.
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
U.S. citizenship is required.
More than eight years of demonstrated embedded-systems security design experience; DoD embedded-systems security experience is preferred.
Experience with ASIC or SoC design and verification, particularly system-level security architecture and integration oversight.
Advanced knowledge of cryptographic algorithms, their appropriate use, implementation vulnerabilities, and countermeasures.
Advanced knowledge of hardware and software attacks and vulnerabilities, with the ability to balance mitigations against acceptable residual risk.
Advanced understanding of computer hardware and software architectures, including CPUs, FPGAs, operating systems, and user-space application runtime environments.
Strong written communication, analytical, problem-solving, and technical leadership skills.
Experience working directly with external customers and suppliers to resolve challenging technical requirements.
Commitment to ongoing professional development for self and others.

Nice To Haves

DoD embedded-systems security experience is preferred.

Responsibilities

Lead security architecture, design, and requirements development for assigned devices or subsystems by eliciting and deriving key requirements from lead customers.
Evaluate proposed and existing system architectures for reverse-engineering and cyber-exploitation vulnerabilities.
Derive security requirements and lead security-focused analysis in continuous coordination with Government assessment laboratories and internal security red teams.
Document vulnerabilities, threats, and countermeasure recommendations in white papers and attack-countermeasure analyses.
Architect system-level security designs and requirements that address identified vulnerabilities in U.S. weapon systems.
Develop test strategies and plans for functional verification, including CPU, interconnect, eFPGA, power and clock-domain isolation, and provisioning-state transitions.
Lead assigned integration and verification activities, including hands-on troubleshooting, test development, execution, and results analysis.
Provide systems engineering oversight for ASIC package and Development Kit design with external suppliers.
Establish and maintain CI/CD test capabilities for continuous, automated hardware and software testing.
Prepare for, attend, and brief customer and Government design reviews.
Participate in product design lifecycle activities, including system architecture, design, development, verification, and release readiness.
Distill complex technical concepts into clear writing to support proposals, customer engagements, and new product opportunities.
Contribute to product ideas, proposals, industry working groups, and security recommendations for relevant standards, policies, and procedures.
Identify opportunities to apply AI to continuous improvement and engineering innovation.