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Senior Product Security Lead – NVIDIA Jetson

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$224k - $356.5kfull-timePosted 1mo ago

About the role

Direct product-security strategy and delivery for NVIDIA Jetson, Linux for Tegra (L4T), and the JetPack software platform, overseeing security across silicon, firmware, OS, platform, and application teams and coordinating with customers to ensure production readiness.

Responsibilities

  • Oversee and guide the entire product security strategy and roadmap for Jetson, L4T, and JetPack—from initial architecture and development through rollout and post-launch support—while establishing well-defined product-level security mandates, structural principles, release benchmarks, and lifecycle methodologies.
  • Embed secure-by-design principles across firmware, boot software, the Linux kernel, device drivers, system software, containers, and platform services by providing hands-on security engineering mentorship and partnering with silicon, firmware, manufacturing, and platform-security teams on core capabilities (e.g., secure boot, hardware roots of trust, key provisioning, device identity, debug security, trusted execution, rollback protection, and secure update).
  • Lead threat analysis and vulnerability assessments—including TAVA, threat modeling, risk analysis, attack-surface analysis, and security architecture reviews—coordinating triage and resolution of findings with NVIDIA PSIRT and engineering teams to assess impact, prioritize risk, and drive mitigations to closure.
  • Support NVIDIA and customer readiness for cybersecurity regulations (e.g., EU CRA) by identifying technical gaps and coordinating evidence; clarify shared responsibilities with legal, compliance, and cybersecurity teams.
  • Coordinate the creation and upkeep of product-security materials, including SBOMs, security white papers, secure-deployment mentorship, vulnerability-management documentation, and customer-facing security collateral.
  • Serve as the primary product-security contact for Jetson engineering teams, program management, NVIDIA PSIRT, internal application teams, and selected strategic customers and partners.
  • Develop scalable processes, reusable mentorship, and foundational security standards to align multiple development teams.
  • Define and track operational metrics covering vulnerability response, security-requirement coverage, remediation progress, security collateral generation, and overall product-release readiness.

Qualifications

  • Bachelor’s or Master’s degree, or equivalent experience, in Computer Science, Electrical/Computer Engineering, Cybersecurity, or a related field.
  • 12+ years in security engineering; at least 3 years in product-security, platform-security, security-architecture, or technical leadership.
  • Experience securing complex embedded, Linux, robotics, edge-computing, automotive, or system-on-chip platforms, with understanding of firmware, bootloaders, kernels, device drivers, system services, and containers.
  • Solid platform-security fundamentals (secure boot, roots of trust, trusted execution, key management, cryptography, secure provisioning, debug protection, secure software update).
  • Practical experience with threat modeling, security architecture reviews, vulnerability assessments, risk analysis, and security-requirement development.
  • Experience integrating security practices into the software development lifecycle (code analysis, dependency management, vulnerability scanning, SBOM generation, remediation workflows).
  • Ability to lead and influence across organizations without direct authority in a global engineering environment.
  • Excellent written and verbal communication skills to explain complex security risks to engineers, executives, customers, and non-security partners.

Skills

Required:Security strategy and roadmapThreat modelingVulnerability assessmentSecure-by-designSBOM and vulnerability management

Benefits

  • equity
  • benefits
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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