GPU Software Development Engineer

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.

GPU Software Development Engineer THE ROLE: AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks.

You will be a member of the Advanced Rendering Research team and will work with the very latest hardware and software technology.

THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution.

Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES: Develop and optimize GPU shaders using languages such as GLSL, HLSL, or Metal.

Design, implement, and optimize high-performance GPU kernels for machine learning operators.

Collaborate with graphics engineers to enhance the graphics and rendering pipeline, ensuring high performance and visual quality.

Work closely with ML researchers and engineers to translate neural network models and algorithms into efficient GPU code.

Integrate new technologies and features into existing and new hardware platforms.

Work with different teams such as research, hardware, driver, compiler, etc.

Analyze and troubleshoot performance issues, providing solutions to improve rendering speed and ML workload efficiency on GPUs. Stay current with the latest advancements in GPU hardware, rendering techniques, and graphics APIs, and GPU-accelerated machine learning.

Contribute to the design and development of graphical tools, hardware for research and game integration Document and share knowledge on best practices for GPU programming (both graphics and compute/ML) within the team.

Participate in code reviews and provide constructive feedback to peers.

PREFERRED EXPERIENCE: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.

Proven experience in GPU programming and graphics development.

Demonstrable experience in developing and optimizing GPU kernels for machine learning workloads (e.g., using CUDA, HIP, OpenCL, or compute shaders).

Strong understanding of GPU architecture, graphics APIs (DirectX, OpenGL, Vulkan, etc.), and shader programming.

Solid understanding of common neural network operators, their mathematical foundations, and computational requirements.

Familiarity with the rendering pipeline, including vertex processing, rasterization, and fragment shading.

Experience with integrating new technologies into existing systems and hardware.

Proficiency in C/C++ and shader languages (GLSL, HLSL, etc.).

Experience with GPU compute APIs (CUDA, HIP, OpenCL) is highly desirable.

Knowledge of 3D graphics mathematics, algorithms, and data structures.

Excellent problem-solving skills and the ability to work in a fast-paced environment.

Strong communication skills, both verbal and written.

ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Experience with real-time rendering techniques such as ray tracing, PBR (Physically Based Rendering), etc.

Familiarity with machine learning techniques applied to graphics and rendering.

Familiarity with hardware especially AMD #LI-RA1 #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.GPU Software Development Engineer THE ROLE: AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks.

You will be a member of the Advanced Rendering Research team and will work with the very latest hardware and software technology.

THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution.

Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES: Develop and optimize GPU shaders using languages such as GLSL, HLSL, or Metal.

Design, implement, and optimize high-performance GPU kernels for machine learning operators.

Collaborate with graphics engineers to enhance the graphics and rendering pipeline, ensuring high performance and visual quality.

Work closely with ML researchers and engineers to translate neural network models and algorithms into efficient GPU code.

Integrate new technologies and features into existing and new hardware platforms.

Work with different teams such as research, hardware, driver, compiler, etc.

Analyze and troubleshoot performance issues, providing solutions to improve rendering speed and ML workload efficiency on GPUs. Stay current with the latest advancements in GPU hardware, rendering techniques, and graphics APIs, and GPU-accelerated machine learning.

Contribute to the design and development of graphical tools, hardware for research and game integration Document and share knowledge on best practices for GPU programming (both graphics and compute/ML) within the team.

Participate in code reviews and provide constructive feedback to peers.

PREFERRED EXPERIENCE: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.

Proven experience in GPU programming and graphics development.

Demonstrable experience in developing and optimizing GPU kernels for machine learning workloads (e.g., using CUDA, HIP, OpenCL, or compute shaders).

Strong understanding of GPU architecture, graphics APIs (DirectX, OpenGL, Vulkan, etc.), and shader programming.

Solid understanding of common neural network operators, their mathematical foundations, and computational requirements.

Familiarity with the rendering pipeline, including vertex processing, rasterization, and fragment shading.

Experience with integrating new technologies into existing systems and hardware.

Proficiency in C/C++ and shader languages (GLSL, HLSL, etc.).

Experience with GPU compute APIs (CUDA, HIP, OpenCL) is highly desirable.

Knowledge of 3D graphics mathematics, algorithms, and data structures.

Excellent problem-solving skills and the ability to work in a fast-paced environment.

Strong communication skills, both verbal and written.

ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Experience with real-time rendering techniques such as ray tracing, PBR (Physically Based Rendering), etc.

Familiarity with machine learning techniques applied to graphics and rendering.

Familiarity with hardware especially AMD #LI-RA1 #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.

Required Skill Profession

Engineers