Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: 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. THE PERSON: We are looking for an adaptive, self-motivated engineer to join our growing GPU architecture team. As a key contributor, you will be part of a leading team to drive AMD's market-leading GPU designs across AI/Machine Learning, Compute, and Discrete GPU gaming products. You will be involved with threat modeling, analyzing data and register access paths, and researching security features for our next-generation designs. The role requires a special combination of technical breadth, problem-solving, and soft skills. The GPU Security Architect is a cross-functional technical leader. KEY RESPONSIBILITIES: • Investigate and architect next‑generation GPU IP features that enhance protection of register access and sensitive customer data, while enabling forward-looking product capabilities. • Research and quantify attack vectors through which bad actors can gain access to customer data or GPU configuration, disrupt correct GPU operation, impact performance, or circumvent GPU protections. • 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, including Silicon bring-up. • Perform design and threat analysis of firmware and hardware, to ensure quality and robustness. • 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 (Product and System Architects, RTL, PD, SW, Bring-up) to deliver best-in-class security solutions. PREFERRED EXPERIENCE • Relevant work experience focused on computer architecture and security, with a strong understanding of the 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. LEADERSHIP SKILLS • Accomplished listener who can analyze, abstract, communicate, and converge on the best ideas. • Develop strong partnerships over time with program stakeholders across the organization and development teams outside the organization. • Excellent verbal, written, and presentation skills. • Excellent interpersonal, organizational, analytical, planning, and teamwork skills. ACADEMIC CREDENTIALS: • Bachelor’s in Computer Engineering/Electrical Engineering or Masters in Computer Engineering/Electrical Engineering or PhD in Computer Engineering or Electrical Engineering. LOCATION: Santa Clara, CA #LI-PA1 This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

Investigate and architect next‑generation GPU IP features that enhance protection of register access and sensitive customer data, while enabling forward-looking product capabilities.
Research and quantify attack vectors through which bad actors can gain access to customer data or GPU configuration, disrupt correct GPU operation, impact performance, or circumvent GPU protections.
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, including Silicon bring-up.
Perform design and threat analysis of firmware and hardware, to ensure quality and robustness.
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 (Product and System Architects, RTL, PD, SW, Bring-up) to deliver best-in-class security solutions.
Accomplished listener who can analyze, abstract, communicate, and converge on the best ideas.
Develop strong partnerships over time with program stakeholders across the organization and development teams outside the organization.

Nice-to-haves

Relevant work experience focused on computer architecture and security, with a strong understanding of the 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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

Platform: amd
Effort: medium