NVIDIA is seeking a Security Architect to join the team defining and advancing security architecture for our pioneering SoCs and GPUs. In this role, you will work with experienced security architects and multi-functional engineering teams to help evaluate platform security requirements, support security certification efforts, and provide to secure designs across automotive, gaming, and server platforms.
You will gain hands on experience in security certification and assurance programs, silicon security, secure boot, measured boot, hardware root of trust, cryptography, CPU security architecture, and SoC security design. You will also help build and apply AI assisted tools that improve how security architecture work is done, including design review support, specification analysis, threat modeling workflows, certification evidence tracking, and security knowledge retrieval.
What you'll be doing:- Support security certification and compliance efforts for NVIDIA chips and platforms, including FIPS 140-3, EU CRA, ISO 21434, Caliptra trademark audit, and related assurance programs.
- Assist with certification documentation, implementation tracking, evidence collection, compliance mapping, and coordination with internal teams, external labs, auditors, and certification partners.
- Help translate security requirements and certification expectations into practical engineering mentorship for hardware, firmware, and software teams.
- Review architecture, verification, and firewall specifications with guidance from senior architects to help assess whether IPs meet platform security requirements.
- Contribute to threat modeling by identifying trust boundaries, attack surfaces, assets, assumptions, and potential mitigations.
- Contribute to security architecture documentation, design review checklists, certification materials, compliance mappings, and internal guidance.
- Collaborate with security architects, hardware teams, software teams, verification teams, and product teams to help evaluate platform security requirements.
- Build and improve tools and workflows enhanced by artificial intelligence. These help security architects review specifications, identify security requirements, summarize technical evidence, and scale threat modeling across advanced SoC and GPU programs.
- Explore practical uses of LLMs and automation to improve security architecture productivity while protecting confidential design information and maintaining engineering rigor.
What we need to see:- Pursuing or recently completed a BS, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent experience.
- Strong foundation in computer architecture, digital logic, operating systems, embedded systems, or computer security.
- Coursework, internship, research, project, or equivalent experience in security, computer architecture, hardware design, or cryptography.
- Programming and debugging fundamentals in one or more of C, C++, Python, Verilog, System Verilog, ARM assembly, RISC V assembly, or scripting languages.
- Strong analytical, reasoning, collaboration, and problem-solving skills for working across engineering teams.
- Curiosity and genuine interest in learning security architecture for sophisticated SoCs and GPUs.
- Interest in learning how AI tools and automation can improve engineering workflows, including documentation, analysis, and security review tasks.
Ways to stand out from the crowd:- Exposure to SoC security or platform security concepts such as secure boot, measured boot, hardware root of trust, key management, debug security, isolation, or memory protection.
- Understanding of cryptographic algorithms, standards, implementations, and secure protocol usage.
- Experience with threat modeling, vulnerability research, CTFs, secure design review, or security testing.
- Experience with ASIC design concepts, RTL, verification, and embedded firmware.
- Experience building AI assisted engineering tools, automation scripts, retrieval systems, agents, evaluation workflows, or tools designed to improve efficiency for code, technical writing, architectural assessment, verification, or security analysis.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
