Senior GPU SDK Engineer.

Advanced Micro Devices; Warszawa; On-site; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

A leading technology company in Poland is seeking a performance-focused GPU engineer to optimize GPU workloads and analyze performance across modern architectures. The ideal candidate will have strong experience with HLSL, Direct3D 12, and advanced C++ as well as expertise in GPU performance analysis. You'll work in a collaborative environment, contributing to innovative solutions while pushing the limits of performance.

Qualifications

• Strong experience with GPU performance optimization.
• Hands-on with HLSL, Direct3D 12, and GPU profiling tools.
• Expertise in parallel algorithms and performance engineering.

Responsibilities

• Optimize GPU performance across modern architectures.
• Perform in-depth analysis and profiling of GPU workloads.
• Collaborate with teams to solve performance-related challenges.

Skills

GPU performance optimization

HLSL and Direct3D 12

HIP and ROCm

GPU profiling and performance analysis

Advanced C++ (C++17/20)

Numerical computing

Education

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

Tools

GPU performance tools

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.

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

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.