CPU Performance Forecaster & Data Scientist

Advanced Micro Devices, Inc.; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Advanced Micro Devices, Inc. is seeking a data scientist and performance engineer to own the quantitative forecasting system for the CAP team. You will combine architecture assumptions, workload measurements, software trends and platform data to produce forward-looking predictions with confidence ranges.

The role requires modeling causality, uncertainty, and delivering a clear competitive narrative. You will design experiments with architects to reduce uncertainties, build executive visuals, and

Qualifications

• Experience building quantitative models under uncertainty.
• Strong Python programming and data-analysis skills.
• Expertise in error metrics, calibration methods and sensitivity analyses.

Responsibilities

• Design and maintain a forecasting framework linking CPU architecture, memory and I/O.
• Create performance, performance-per-watt and price-performance forecasts with confidence ranges.
• Build scenarios for uncertain competitor attributes (frequency, core count, memory bandwidth).
• Track prediction error by workload, forecast horizon and model version.
• Develop normalized competitive scorecards across performance, efficiency and TCO.
• Fuse benchmark results, platform evidence and roadmap data while preserving provenance.
• Identify leading indicators and surface early risk or opportunity signals.
• Collaborate with architecture and workload leads to design experiments.
• Create executive-grade visualizations of deltas and forecast history.
• Write quarterly forecast narratives and recalibrate with new silicon evidence.

Skills

Python

Data analysis

Uncertainty modeling

Bayesian modeling

Monte Carlo

Probabilistic programming

Performance forecasting

Data visualization

Education

Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

Notebooks

Job description

Advanced Micro Devices, Inc. is seeking a data scientist and performance engineer to own the quantitative forecasting system for the CAP team. You will combine architecture assumptions, workload measurements, software trends and platform data to produce forward-looking predictions with confidence ranges.

The role requires modeling causality, uncertainty, and delivering a clear competitive narrative. You will design experiments with architects to reduce uncertainties, build executive visuals, and