AMD’s Australian Graphics IP team specialize in the design and verification of AMD's Graphics Processing Units (GPUs). As a GPU modeling engineer, you will work in a hardware/software codesign environment to craft industry leading simulation platforms used in GPU research and development.

THE PERSON
The ideal candidate has 3 to 10 years of experience in industry and is a highly skilled software designer and engineer proficient in C++. Knowledge of GPU or other computer hardware and Graphics APIs is an advantage. The candidate has worked developing complex systems in a structured environment, and has the following skills:

Communication:

• Excellent written and oral communication
• Skilled at understanding requirements and expectations, and clarifying when needed
• Able to concisely present results and status to peers and management

Analytical ability:

• Divides an issue into its parts and use data-based decision making
• Balances big picture and detailed perspectives
• Understands complex architectural, design, and verification concepts

Motivation:

• Proactive and self-motivating
• Seeks guidance from peers and management
• Enjoys a dynamic work environment

Teamwork:

• Thrives in a collaborative team environment
• Respects the value of diverse perspectives
• Supports team objectives
• Continuously improve how the team meets requirements

KEY RESPONSIBILITIES
Collaborate with architects, design engineers, and verification engineers on specifications, verification plans, and test plans
Develop and maintain C/C++ models and supporting systems
Debug, test, analyze, and improve model functional and performance accuracy
Identify and implement opportunities for improving AMD’s design and verification environment

PREFERRED EXPERIENCE

• Software development using C or C++
• Use of industry-standard profiling and debug tools
• Graphics API or graphics pipeline knowledge
• Hardware design or verification
• Hardware implementation using HDLs such as Verilog or VHDL
• Scripting languages - Python, Perl, shell
• Productivity tools – Jira, Jenkins
• Configuration Management – Perforce, GIT

ACADEMIC CREDENTIALS
Bachelor or Master level degree in Software Engineering, Computer Engineering or a related field.