AI Software Architecture Fellow - ROCm & System Co-Design

Advanced Micro Devices; San Jose (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Comprehensive benefits package

Opportunities for career advancement

Inclusive work environment

Job summary

A leading semiconductor company is looking for a technical leader for the role of AMD Fellow in San Jose. The ideal candidate will shape the AI software strategy for new product initiatives and drive architecture across a broad product portfolio. Responsibilities include collaborating with various teams, leading model profiling for performance excellence, and mentoring future technical leaders. Candidates should have in-depth knowledge of GPU architectures and experience in AI/ML software stacks. A Bachelor's degree or higher in a relevant field is required.

Qualifications

• Strong technical leadership driving architecture and innovation.
• Ability to work across organizations and influence product goals.
• Experience in co-designing high-performance products.

Responsibilities

• Set the technical vision for AI software stack across AMD products.
• Collaborate with teams to influence silicon features.
• Lead the profiling of large-scale models for performance excellence.
• Drive development of advanced performance estimation tools.
• Partner with customers to meet unique workload requirements.
• Mentor and inspire next generation technical leaders.

Skills

Knowledge in GPU architectures

Experience in AI/ML software stack

Understanding of GPU programming

Experience in hardware/software co-design

Experience with operating systems and device-driver development

Education

Bachelor of Science, Masters or PhD in Electrical Engineering, Computer Architecture or Computer Science

Job description

A leading semiconductor company is looking for a technical leader for the role of AMD Fellow in San Jose. The ideal candidate will shape the AI software strategy for new product initiatives and drive architecture across a broad product portfolio. Responsibilities include collaborating with various teams, leading model profiling for performance excellence, and mentoring future technical leaders. Candidates should have in-depth knowledge of GPU architectures and experience in AI/ML software stacks. A Bachelor's degree or higher in a relevant field is required.