2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- 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 defensive features including strong partitioning, least-privilege access, secure communication, fault containment, secure updates, and recovery from malicious inputs.
- Perform threat modeling and automotive TARA, linking 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, and drive 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 focused 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.
- Preferred experience driving adoption of Rust, Ada/SPARK, formal methods, or other memory-safe and analyzable systems approaches; building capability- or ownership-based security models; and creating security automation, fuzzing infrastructure, review agents, or AI-assisted engineering tools.
Benefits
- Eligible for equity and benefits.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.