Uncertainty Quantification

Uncertainty Quantification Data Jobs

2 jobs found

1d ago

Principal Competitive CPU Performance Forecaster & Data Scientist

Advanced Micro Devices, Inc Texas

Texas

1d ago

Full time Analytics Competitive Performance Data Analysis

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Job Description

AMD is hiring a data scientist and performance engineer to own the quantitative forecasting system for competitive server CPU performance.

Responsibilities

Design and maintain a forecasting framework that connects CPU architecture, memory, I/O, power, operating-system and runtime behavior, and workload kernels.
Generate forward-looking forecasts for performance, performance-per-watt, and price-performance using confidence ranges instead of 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 forecast errors and tune models as measured systems become available.
Develop normalized competitive scorecards spanning 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 run design experiments that reduce the highest-value uncertainties.
Create executive-grade visualizations for 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.

Requirements

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, plus willingness to engage deeply with architectural causality.
Experience building reproducible data pipelines, using versioning, and working with notebooks or scripts while maintaining source provenance.
Strong visualization, writing, and presentation skills for technical and executive audiences.
Sound judgment on when a model is useful, when it is overfit, and when evidence does not support a precise conclusion.
Experience with CPU or GPU performance prediction, pre-silicon modeling, capacity planning, forecasting, or benchmark analytics.
Experience with Bayesian modeling, Monte Carlo simulation, probabilistic programming, or uncertainty quantification.
Experience combining structured benchmark data with semi-structured roadmap, software-change, or market evidence.
Cross-ISA or cloud-instance price-performance analysis experience.
Familiarity with platform economics, TCO, rack power, or density.

Technologies

Python
Bayesian modeling
Monte Carlo simulation
Probabilistic programming
Uncertainty quantification
Notebooks, scripts

Team

The Competitive Advanced Performance (CAP) team is a new, visible capability focused on predicting, validating, and explaining competitive server CPU performance before products reach the market.
Joining now means helping define the methods, tools, and operating model from the ground up.

Role Summary

Own the quantitative forecasting system behind the CAP team, combining architecture assumptions, workload measurements, software trends, platform data, and partner validation.
Produce forward-looking predictions with explicit confidence ranges, accountable forecast-versus-actual learning, and a competitive narrative covering likely leadership, risk areas, confidence, and variables that could change the outcome.

Academic Credentials

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

Location

Texas (hybrid)
Austin, Texas

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1mo ago

Data Scientist

Hadrian Automation Torrance, CA

Torrance, CA

1mo ago Closed

$170k - $300k/yr Full time Python Advanced Analytics Advanced Manufacturing

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Drive production-ready data science for manufacturing at Hadrian by predicting cycle time, cost, tool wear/life, quality/yield, and triage risk ahead of production runs.

Responsibilities

Build and ship production models for cycle time, tool life, quality, and demand using calibrated uncertainty (quantile, conformal, or Bayesian) instead of point estimates alone.
Predict outcomes directly from geometry by engineering features and developing geometric/graph models for cycle time, cost, DFM, tolerance risk, and triage probability.
Create a part and operation embedding layer representing parts via geometry, material, tolerances, and route; perform similarity retrieval and transfer behavior to cold-start new parts.
Validate with honest backtesting that respects time ordering and prevents part-family leakage; justify model choice (deep vs classical) per problem.
Own model lifecycle end to end on the platform: reproducible training, serving, monitoring, and retraining in partnership with ML Platform and Data Engineering.
Close the loop in production by detecting drift and quality anomalies so predictions improve as new data arrives.
Translate predictions into business decisions for quoting, scheduling, capacity, and DFM; design experiments/A-B tests to measure impact; document results and hand off to operations.

Requirements

Experience with forecasting and prediction on messy manufacturing data with honest uncertainty.
Proficiency in representation learning and embeddings, including similarity/retrieval and transfer or few-shot approaches for limited, sparse data.
Ability to build shipping deep learning solutions in PyTorch and apply judgment on when deep learning is or is not appropriate.
Strong classical ML and statistics including GBMs, Bayesian/hierarchical, survival, and causal methods.
Demonstrated validation rigor: backtesting, leakage control (time and part-family), and calibration.
Strong Python skills for turning complex processes into features and models that can be consumed by operators and downstream systems.
Experience deploying and monitoring models, with pipelines and drift considered from the start.
Comfort working with limited, high-value data and borrowing strength across related cases.

Technologies

PyTorch
quantile
conformal
Bayesian
GBMs
Python
PyTorch Geometric
CAD
B-rep
GNNs
ANN
IoT
A/B tests

Benefits

Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy
Equity

Compensation

Target salary range: USD 170,000 - 300,000 per yearly (actual range may vary based on experience)
Pay position within the range is based on factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs

ITAR Requirements

To conform to U.S. Government space technology export regulations (including ITAR), candidates must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State.

Use of AI in Hiring

Hadrian uses AI-assisted tools in recruiting and hiring to help the team work more efficiently.
AI tools support the team and are not used to make hiring decisions; human evaluation and decisions are used.
If an interview will be recorded, you will be notified in advance and may opt out at any time without impact on candidacy.
Candidate data processed through these tools is subject to the same protections described in Hadrian’s Privacy Policy.

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Uncertainty Quantification Data Jobs

Principal Competitive CPU Performance Forecaster & Data Scientist

Data Scientist

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