Lead Performance Modeling Engineer – GPU SoC

About the role

Lead Performance Modeling Engineer – GPU SoC The Role: Architect, Analyze and optimize high-performance SoCs for Cloud computing, and machine learning acceleration. Propose solutions to enhance performance and optimize power. Explore, analyze and optimize next-generation data center systems. Do you seek the most sophisticated challenges in the computing industry?

What you'll do

• Lead Performance Modeling Engineer – GPU SoC The Role: Architect, Analyze and optimize high-performance SoCs for Cloud computing, and machine learning acceleration
• Propose and implement solutions to our next generation GPU SoC and data center system application performance issues
• Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU and data center systems
• Responsible for micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization
• Develop tools and methodology for performance analysis of workloads

What you need

• 6–10 years in electrical & electronics
• Machine learning
• PhD or B.Tech or B.E.

Good to have

• C++
• Python