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We are seeking a self-motivated GPU Hardware Security Architect to join our growing GPU Architecture team. In this role, you will help define AMD’s next-generation GPU security architecture across AI/ML, Compute, and Discrete Gaming products. The position will drive security features that protect register access, firmware interfaces, configuration controls, and sensitive customer data. Responsibilities include threat modeling, access-path analysis, security architecture, and cross-functional execution support, and require strong technical depth, problem-solving ability, and communication skills.
Job Responsibility
Investigate and architect next‑generation GPU IP features that enhance protection of register access and sensitive customer data
research and quantify attack vectors through which bad actors can gain access to customer data or GPU configuration
experienced in the use of AI tools to identify and resolve security issues
ensure AMD's security offerings meet industry standards and anticipate industry trends
work with AMD SoC and other IP teams to track trends and development directions for GPU security
write and deliver architectural specifications to development teams (HW, SW, Firmware, etc)
architect new GPU algorithms to improve GPU security without compromising performance
provide technical and cross-functional debug support to execution teams
perform design and threat analysis of firmware and hardware
deliver architecture specifications and/or review proposals from internal/external sources
guide execution teams in comprehending and following GPU security guidelines
collaborate with internal AMD teams to deliver best-in-class security solutions
Requirements
Relevant work experience focused on computer architecture and security
strong understanding of factors influencing register and firmware access protections at chip, system, and product levels
thorough knowledge of RTL design and/or verification
proven track record of providing and following through with pragmatic security requirements
expert at tackling multi-variable problems via system-level modeling, testing and characterization, trend analysis/projection, and model verification
Computing and Graphics architecture
a drive to continuously learn and expand architectural breadth and depth
understands GPU security/power/performance, SW and FW access, and system-level trade-offs
Graphics Shader behavior is a benefit
knowledge of Machine Learning and AI usage is a benefit
threat modeling tools
accomplished listener who can analyze, abstract, communicate, and converge on the best ideas
develop strong partnerships over time with program stakeholders
excellent verbal, written, and presentation skills
excellent interpersonal, organizational, analytical, planning, and teamwork skills
Bachelor’s in Computer Engineering/Electrical Engineering or Masters in Computer Engineering/Electrical Engineering or PhD in Computer Engineering or Electrical Engineering