Senior Security Engineer, RTOS, Virtualization

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead security engineering for RTOS, hypervisor, and embedded virtualization technologies across design, implementation, review, and verification • Collaborate on CPU and SoC architecture, including privilege levels, memory protection, DMA, interrupts, boot flows, debug controls, and hardware isolation • Build and implement defensive features such as strong partitioning, least-privilege access, secure communication, fault containment, secure updates, and recovery from malicious inputs • Perform threat modeling and automotive TARA • Connect risks, mitigations, requirements, tests, and evidence to security and safety standards • Review low-level C/C++ code • Investigate vulnerabilities • Build fuzzing and security test infrastructure • Drive security fixes into production

🎯 Requirements

• 8+ years of hands-on experience in systems, embedded, platform, product, or automotive security • BSEE/BSCS degree or equivalent experience • Experience securing RTOS, hypervisor, kernel, firmware, boot, driver, or other privileged software • Strong C/C++ skills, with focus on memory safety, concurrency, resource ownership, privilege boundaries, and isolation • Familiarity with CPU and SoC security concepts including MMU/SMMU or IOMMU, DMA, interrupts, boot, debug, and hardware-backed isolation • Experience with threat modeling, vulnerability analysis, exploitability assessment, fuzzing, static or dynamic analysis, and security remediation • Familiarity with automotive cybersecurity, safety, or process standards such as ISO/SAE 21434, UN R155, ISO 26262 interfaces, or Automotive SPICE • Drove adoption of Rust, Ada/SPARK, formal methods, or other memory-safe and analyzable systems approaches • Built capability-based or ownership-based security models for low-level systems • Built security automation, fuzzing infrastructure, review agents, or AI-assisted tools used by engineering teams

🏖️ Benefits

• Equity • Benefits • Inclusive work environment • Equal opportunity employer

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