Senior CPU Performance Forecaster & Data Scientist

Advanced Micro Devices, Inc.; Texas; On-site; USD 120,000 - 190,000; Full time

Job summary

AMD Austin seeks a data scientist and performance engineer to own the quantitative forecasting system for the CAP team. Combine architecture assumptions, workload measurements, software trends and platform data into forward-looking predictions with explicit confidence ranges and documented provenance.

You will model causality, calibrate forecasts, and present uncertain outcomes to engineers and executives, addressing forecast-versus-actual results and evolution as new silicon enters the market.

Qualifications

• Demonstrated experience building quantitative models used for technical or business decisions under uncertainty.
• Strong programming and data-analysis skills in Python or an equivalent analytical environment.
• Expertise in defining meaningful error metrics, calibration methods and sensitivity analyses for sparse or biased data.
• Working knowledge of server CPU and system performance and a willingness to engage deeply with architectural causality.
• Experience with reproducible data pipelines, versioning, notebooks or scripts, and source provenance.
• Strong visualization, writing and presentation skills for technical and executive audiences.
• Sound judgment about when a model is useful, when it is overfit and when evidence is insufficient.

Responsibilities

• Design and maintain a forecasting framework linking CPU architecture, memory, I/O, power, OS and runtime behavior and workloads.
• Create performance, performance-per-watt and price-performance forecasts with confidence ranges.
• Build scenarios for uncertain competitor attributes like frequency, core count, memory bandwidth and platform power.
• Track prediction error by workload, forecast horizon and model version; tune the model as data becomes available.
• Develop normalized competitive scorecards across performance, efficiency, memory, I/O, ecosystem and roadmap credibility.
• Fuse benchmark results, platform evidence and roadmap data while preserving source provenance.
• Identify leading indicators that signal forecast changes or early risk/opportunity.
• Collaborate with architecture and workload leads to design experiments reducing key uncertainties.
• Create executive-grade visuals of deltas, confidence ranges and forecast history.
• Write quarterly forecast narratives and recalibrate when new silicon or data arrives.

Skills

Quantitative models

Python

Data analysis

CPU performance

Uncertainty quantification

Reproducible pipelines

Visualization

Executive communication

Benchmark analytics

Pre-silicon modeling

Capacity planning

Price-performance

Education

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

Job description

AMD Austin seeks a data scientist and performance engineer to own the quantitative forecasting system for the CAP team. Combine architecture assumptions, workload measurements, software trends and platform data into forward-looking predictions with explicit confidence ranges and documented provenance.

You will model causality, calibrate forecasts, and present uncertain outcomes to engineers and executives, addressing forecast-versus-actual results and evolution as new silicon enters the market.