Senior Manager, System Software Security

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1

Senior Manager for System Software Security at NVIDIA, focusing on defining and delivering security architecture for Tegra SoC platforms (Jetson, DRIVE OS). The role involves leading a team, owning the security roadmap, driving security feature planning and execution, and ensuring compliance with automotive security standards. Experience with AI/ML and LLM security risks is a plus.

What you'd actually do

  1. Lead, mentor, and grow a team of security software engineers focused on platform security architecture and DRIVE OS security enablement
  2. 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
  3. Drive security feature planning, design reviews, and execution across Trusted OS, Secure Boot, measured boot, DRM, HDCP, SMMU, and SELinux
  4. Lead security postmortems, threat modeling sessions, and architecture reviews for new platforms
  5. Drive post-quantum cryptography readiness strategy including ML-DSA, EdDSA, and RSA deprecation roadmap

Skills

Required

  • 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
  • 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
  • Strong track record of mentoring, developing, and recruiting engineers
  • Proficiency in C and C++
  • Excellent verbal and written communication skills
  • 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

Nice to have

  • Hands-on experience with DRIVE OS, L4T, AAOS, or automotive-grade Linux platforms
  • Familiarity with ISO 21434, UNECE regulation, or ASIL automotive security and safety standards
  • Experience with NVIDIA Tegra security stack
  • Knowledge of post-quantum cryptography (PQC) standards — ML-DSA, EdDSA, ML-KEM
  • Experience with virtualization security
  • prior collaboration with SoC partners on co-developed security IP

What the JD emphasized

  • security architecture
  • security features
  • security team
  • security risk classification
  • AI/ML and LLM security risks