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AMD · 1 day ago

GFx/Compute Software Technical Lead

Austin, TX

Full-time

Onsite

Senior Level, Lead/Staff

$164K/yr - $246K/yr

AMD is a leading company in the field of graphics and AI acceleration. The role involves developing diagnostics applications for the verification of graphics accelerators, requiring strong leadership and technical skills to optimize and debug complex workloads.

Artificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor

Growth Opportunities

No H1B

Hiring Manager

Andrea Jenkins

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

Qualification

GPU hardware/software integrationDiagnostics design techniquesMachine learning applicationsModern C++ programmingLinux software developmentAssembly language debuggingObject-oriented analysisSource code control systemsData analysis skillsCommunication skillsProblem-solving capabilities

Required

Bachelor's/Master's degree, in Electrical/Computer Engineering or Computer Science

Excellent knowledge of GPU hardware/software integrations and standard diagnostics design and development techniques

Proven experience in sophisticated development in a complex software and hardware environment

Exceptional communication, problem-solving capabilities, and data analysis skills

Preferred

Experience developing machine learning, HPC, or general-purpose GPU compute applications

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

Knowledge of RTL design practices and tools is a plus