GPU Performance Engineer. at Advanced Micro Devices, Inc

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hlsl, Direct3d 12, Hip, Rocm, Gpu Profiling, Performance Analysis, Parallel Algorithms, C++17/20, Debugging, Validation, Numerical Computing, Floating-Point Behavior

Industry

Semiconductor Manufacturing

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. 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 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.

Responsibilities

The role involves deep diving into compute and shader performance, partnering with senior engineers to analyze, optimize, and scale GPU workloads across modern architectures. Responsibilities include GPU performance optimization across HLSL compute shaders and/or CUDA/HIP kernels, and deep analysis of GPU architectures.