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AMD

Designs chips for computers and AI systems

Data Scientist Software Engineering AI/ML

Data SciencePosted on Nov 11
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Experience with machine-learning toolchains, workflows, or model deployment is preferred.
  • Experience with Dataiku or similar data-science platforms is preferred.
  • Understanding of PC system architecture, hardware abstraction, or platform performance tuning is preferred.
  • Experience integrating algorithms into production environments across varied hardware configurations is preferred.
  • A bachelor's or master's degree in a related discipline is preferred.

Responsibilities

  • Analyze power and performance instrumentation, including battery life, thermal behavior, and workload responsiveness.
  • Investigate individual systems and conduct statistical studies across hundreds of thousands of devices in the field.
  • Build, refine, and maintain tooling, dashboards, visualizations, and interactive analysis pipelines for engineering teams to understand trends and anomalies.
  • Apply statistical fundamentals to model relationships, quantify uncertainty, generate insights, and ensure rigor in conclusions.
  • Translate analytical findings into narratives for technical and non-technical audiences.
  • Use industry benchmark data such as Procyon, 3DMark, Cinebench, and BAPCo to investigate performance outcomes and drive improvements.
  • Develop and maintain tools, primarily in Python and C, to characterize, optimize, and integrate power and performance algorithms, including machine-learning components.
  • Contribute to designing and tuning algorithms that dynamically adjust hardware parameters based on system configuration, environment, and user scenarios.
  • Collaborate with cross-functional teams to integrate algorithms into production environments and partner-facing software development kits.
  • Implement scalable data pipelines, machine-learning workflows, or validation frameworks.
  • Contribute to automation, performance measurement workflows, and algorithm validation frameworks.
  • Participate in performance tuning, quality validation, and continuous improvement of system optimization logic.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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