Lead, mentor, and grow a team of security software engineers focused on platform security architecture and DRIVE OS security enablement
Own the end-to-end security architecture roadmap across multiple Tegra SoC generations, defining security plan-of-record for new chip programs in close collaboration with hardware architecture, firmware, and OS teams
Drive security feature planning, design reviews, and execution across Trusted OS, Secure Boot, measured boot, DRM, HDCP, SMMU, and SELinux
Lead security postmortems, threat modeling sessions, and architecture reviews for new platforms
Drive post-quantum cryptography readiness strategy including ML-DSA, EdDSA, and RSA deprecation roadmap
Ensure compliance with automotive security standards including ISO 21434, UNECE regulation, and ASIL requirements
Represent the security team in executive reviews, customer engagements, and external partner collaborations

BS/MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience
10+ overall years in system software, security engineering, or firmware development; 5+ years in engineering management (not a first-time manager)
Deep expertise in TEE (OP-TEE / TrustZone), secure boot, measured boot, RiscV firmware, HSM, or SoC security architecture, including ARM TrustZone privilege models and hardware-rooted security primitives
Proven ability to define and drive security architecture across multi-generational SoC programs
Excellent cross-functional collaboration skills — ability to align hardware, firmware, OS, and customer teams around a coherent security strategy
Strong track record of mentoring, developing, and recruiting engineers; experience conducting performance reviews, setting goals, and delivering constructive feedback
Proficiency in C and C++; ability to read and review code at a meaningful technical depth
Excellent verbal and written communication skills; ability to manage multiple priorities across concurrent programs and build consensus across teams with competing priorities
Experience with product security practices including threat modeling, threat analysis, security risk classification, and driving remediation across engineering teams
Understanding of AI/ML and LLM security risks — including model integrity, secure inference pipelines, adversarial robustness, and prompt injection considerations for safety-critical environments

Senior Manager, System Software Security

Key skills