Senior GPU Performance Architect

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Together, we advance your career.

AMD GPUs power the next generation of AI and high-performance computing. Achieving sustained leadership requires architectural thinking that spans hardware, compiler, runtime, and application layers.

We are seeking a Senior Performance Architect to define and drive cross-architecture performance strategy for AI workloads on AMD GPU platforms. This is a senior technical leadership role responsible for shaping long-term performance architecture and influencing both software and hardware direction.

The Senior Performance Architect will:

• Define end-to-end performance strategy across GPU generations
• Shape abstraction layers for performance portability
• Guide kernel and compiler optimization direction
• Influence hardware-software co-design decisions

This role requires exceptional performance intuition and cross-stack expertise.

• Cross-Architecture Strategy
  • Define optimization principles that span GPU generations
  • Identify architectural in variants and portability constraints
  • Evaluate tradeoffs between peak performance and maintainability
• Kernel & Compiler Co-Design
  • Guide kernel tiling, scheduling, and memory strategies
  • Influence compiler scheduling and code generation decisions
  • Analyze ISA-level behavior and performance implications
• Abstraction & Systems Design
  • Architect performance-aware abstraction layers
  • Ensure clean separation of architecture-dependent components
  • Drive long-term maintainability of performance-critical systems
• Technical Leadership
  • Lead architectural design reviews
  • Mentor performance engineers
  • Represent AMD in high-level technical discussions
• Performance Modeling & Prediction
  • Build mental and quantitative performance models
  • Predict workload scaling behavior
  • Identify bottlenecks before profiling

• Extensive experience in GPU performance optimization
• Strong understanding of GPU microarchitecture
• Experience working with compiler tool chains (LLVM or similar)
• Proven track record of architectural decision-making
• Strong C++ background
• Experience spanning multiple GPU generations
• Experience contributing to GPU compiler infrastructure
• Experience with AI workload optimization at scale
• Open-source or industry thought leadership contributions

• Bachelor's and/or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

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.