GFx/Compute Software Technical Lead

Advanced Micro Devices, Inc•Austin, TX

8h•Hybrid

About The Position

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. THE ROLE: Be part of the world's leading graphics and AI accelerator team developing diagnostics applications for the functional and behavior verification of state-of-the-art graphics accelerators. This role will involve designing world class AI and graphics workloads, implementing diagnostics applications, as well as analyzing and debugging the results. THE PERSON: To be successful in this role, you should be a proactive self-starter capable of contributing innovative ideas and providing effective technology leadership. You bring excellent knowledge of GPU hardware/software integrations and standard diagnostics design and development techniques. With proven experience in sophisticated development in a complex software and hardware environment, you can contribute to the team's work in bringing to market some of the world’s leading discrete and data center GPU’s . As a key member of this team, you will need exceptional communication, problem-solving capabilities, and data analysis skills.

Requirements

Experience with object-oriented programming in modern C++.
Experience with systems architecture and object-oriented analysis and design.
Strong software development skills on Linux and debug skills on hardware.
Experience developing, debugging, or tracing assembly language programs.
Standard diagnostics design and development techniques.
Experience on Linux Shell.
Experience in diagnostics environments with emphasis on dGPU ASIC system-level verification.
Experience on exploring and adopting new or evolving verification methodologies used in the industry to verify complex ASIC designs within aggressive, market-driven schedules.
Experience with source code control systems.

Nice To Haves

Experience developing machine learning, HPC, or general-purpose GPU compute applications.
Knowledge of RTL design practices and tools is a plus.

Responsibilities

The candidate would be responsible for planning, designing, developing, debugging, and optimizing diagnostic and feature tests targeting machine learning, HPC hardware accelerators, and general-purpose GPU compute workloads.
Collaborate with hardware architects and logic designers to solve functional issues, and collaborate with customer support engineers to help resolve verification deficiencies.
Explore and adopt new or evolving diagnostics methodologies used in the industry to verify complex ASIC designs within intensive production schedules.
Work within existing verification infrastructure on currently active projects.
Participate in system-level verification planning.
Work with external vendors to optimize diagnostic tests to the customer environment
Ensure enablement and quality of key diagnostic feature test verification for NPI and production enablement of AMD’s dGPU and AI products.
Explore new opportunities using Diagnostics as a vessel for catching defects early in the manufacturing flow (CReST), VF curve generation/prediction (MSA) and identifying RTL design bugs prior to tapeout.
Mentor junior engineers and develop their technical skillset in regard to Diagnostic workflow, architecture design, and SW development disciplines.