AI Performance Modeling Engineer

Project

Work done for a product or program.

• Develop analytical and cycle-approximate models of compute, memory and interconnect.
• Calibrate models against RTL simulation, emulation and silicon.
• Run design space exploration across core counts, SRAM sizes and bandwidth.
• Extract workload traces from popular models and replay on models.
• Report sensitivity analyses to architects and product management.
• Support software teams with expected-performance estimates.

Function

Work that keeps the discipline running: methods, tools, suppliers and people.

• Maintain model infrastructure and regression flows.

Project

1. Produce and hand over the role's key deliverables
   • Performance models
   • Calibration reports
   • Design-space studies
   • Workload trace libraries
2. Support programsGeneral
   • Agree what each program needs
   • Deliver in time for milestones
3. Manage issuesGeneral
   • Track requests to closure
   • Escalate risks

Function

1. Run the functionGeneral
   • Maintain policies and processes
   • Keep records and controls
2. ImproveGeneral
   • Report performance
   • Lead improvement work