Applied AI & GPU Software Engineer

AMD is a company focused on building products that accelerate next-generation computing experiences including AI, data centers, PCs, gaming, and embedded systems. The role is within the Software Ecosystem Enablement team, targeting deployment and optimization of machine learning inference in commercial applications in content creation and CAE spaces.

• 10+ years of professional software development experience
• Solid programming fundamentals in C/C++
• Experience developing or contributing to GPU-accelerated applications
• Solid understanding of GPU programming fundamentals
• Debugging experience with GPU kernels or performance-critical code
• Familiarity with modern ML frameworks and inference systems
• Experience with denoising, neural rendering, or ML simulation is an asset
• Experience with content creation apps, CAD/CAE tools, or HPC pipeline is an asset
• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Key Responsibilities:

• Investigate and prototype hybrid ML systems for graphics, simulation, and media-generation pipelines
• Integrate existing ML models and inference pipelines into commercial software systems
• Design efficient workload scheduling and distribution across heterogeneous resources
• Profile workloads across GPU, NPU, and CPU to identify bottlenecks and optimize performance
• Evaluate runtimes, execution providers, and deployment strategies for modern hardware architectures
• Collaborate with domain experts and existing GPU engineering teams

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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.