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Principal Competitive CPU Performance Forecaster & Data Scientist

AMD· Engineering
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Austin, TX$204kFull-timePosted 4w ago

About the role

Data science and performance engineering role to own the quantitative forecasting system for AMD's Competitive Advanced Performance (CAP) team, combining architecture assumptions, workload measurements, software trends, platform data and partner validation into forward-looking predictions with confidence ranges.

Responsibilities

  • Design and maintain a forecasting framework that links CPU architecture, memory, I/O, power, operating-system and runtime behavior, and workload kernels.
  • Create performance, performance-per-watt and price-performance forecasts with confidence ranges rather than single-point estimates.
  • Build scenarios for uncertain competitor attributes such as frequency, core count, memory bandwidth, software maturity, launch timing and platform power.
  • Track prediction error by workload, competitor, forecast horizon and model version; decompose errors and tune the model as measured systems become available.
  • Develop normalized competitive scorecards across workload performance, efficiency and TCO, memory and I/O, software ecosystem, deployability and roadmap credibility.
  • Fuse benchmark results, performance counters, partner telemetry, public roadmaps, software changes and platform evidence while preserving source provenance.
  • Identify leading indicators that materially change the forecast and surface early risk or opportunity signals.
  • Partner with architecture and workload leads to design experiments that reduce the most valuable uncertainties.
  • Build executive-grade visualizations of deltas, confidence ranges, scenarios, drivers and forecast-versus-actual history.
  • Write quarterly forecast narratives and support rapid recalibration when new silicon or material evidence appears.

Qualifications

  • Bachelor’s or Master’s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field

Skills

Required:Quantitative modelingPython or equivalentData pipelines & provenanceCommunication
Nice to have:Uncertainty quantification
Last updated Oct 15, 2026. Interested? Apply on the company site.
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