Key Facts

Remote From:

Full time

English

Hard Skills

Direct3D GPU Optimization Performance Profiling Algorithm Analysis Nvidia CUDA Numerical Analysis Software Validation C++ (Programming Language) Parallel Patterns Library Memory Hierarchy Cross-Platform Applications GPU Optimization High-Level Shader Language Building Automation Precision Mechanics

Other Skills

•
Collaboration
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Communication
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Curiosity
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Problem Solving

Roles & Responsibilities

Strong experience with HLSL and Direct3D 12
Hands-on experience with HIP and ROCm
Expertise in GPU profiling and performance analysis
Solid understanding of parallel algorithms and patterns

Requirements:

GPU performance optimization across HLSL compute shaders and/or CUDA / HIP kernels
Deep analysis of modern GPU architectures, including warp/wavefront execution, occupancy, memory hierarchy, caches, and LDS/shared memory
Design and evaluation of parallel algorithms, with careful attention to numerical stability and precision trade-offs
End-to-end performance analysis, including profiling, benchmarking, and root-cause investigation using GPU performance tools

Job description

Overview:

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.

Responsibilities:

You:

Are a performance‑focused GPU engineer to work at the intersection of low‑level GPU architecture, parallel algorithms, and real‑world workloads. In this role, you’ll dive deep into compute and shader performance, partnering closely with senior engineers to analyze, optimize, and scale GPU workloads across modern architectures. This is a hands‑on, technically rigorous role where curiosity, precision, and impact matter.

What You’ll Be Part Of

GPU performance optimization across HLSL compute shaders and/or CUDA / HIP kernels
Deep analysis of modern GPU architectures, including warp/wavefront execution, occupancy, memory hierarchy, caches, and LDS/shared memory
Design and evaluation of parallel algorithms, with careful attention to numerical stability and precision trade‑offs
End‑to‑end performance analysis, including profiling, benchmarking, and root‑cause investigation using GPU performance tools
Clear communication of performance findings and collaborative problem‑solving with graphics and compute teams

Requirements:

Strong experience with HLSL and Direct3D 12
Hands‑on experience with HIP and ROCm
Expertise in GPU profiling and performance analysis
Solid understanding of parallel algorithms and patterns
Strong foundation in performance engineering fundamentals
Advanced C++ (C++17/20) skills
Experience with debugging, validation, and correctness testing
Background in numerical computing and floating‑point behavior

Nice to Have (Not Essential):

Experience with additional GPU APIs
Knowledge of shader compilation pipelines and intermediate representations (IRs)
Exposure to ML or linear algebra acceleration
Advanced GPU performance techniques
Experience building tooling and automation
Understanding of the graphics pipeline
Experience across multiple platforms and architectures

Academics:

Bachelor’s or Master's degree in Computer Science, Computer Engineering, or equivalent

#LI-CC5

#LI-REMOTE

Qualifications:

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.

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