Enjoys both experimental analysis and product-scale engineering.
Thrives in teams that sit close to hardware, firmware, and advanced algorithm design.
Wants their work to influence real customer experiences across massive PC populations.
KEY RESPONSIBILITIES
Data Science & Analysis
Analyze detailed power and performance instrumentation, including battery life, thermal behavior, and workload responsiveness.
Perform investigations ranging from deep‑dive single‑system analyses to broad statistical studies across hundreds of thousands of devices in the field.
Build, refine, and maintain tooling, dashboards, visualizations, and interactive analysis pipelines to help engineering teams understand trends and anomalies.
Apply strong statistical fundamentals to model relationships, quantify uncertainty, drive insights, and ensure rigor in conclusions.
Translate complex analytical findings into clear narratives for both technical and non‑technical audiences.
Work with industry benchmark data (Procyon, 3DMark, Cinebench, BAPCo, etc.) to dissect performance outcomes and drive improvements.
Software & Algorithm Development
Develop and maintain tools (primarily in Python and C) that characterize, optimize, and integrate power/performance algorithms, including ML‑based components.
Contribute to the design and tuning of algorithms that dynamically adjust hardware parameters based on system configuration, environment, and user scenarios.
Collaborate with cross‑functional teams to integrate these algorithms into production environments and partner-facing SDKs.
Implement robust, scalable data pipelines, ML workflows, or validation frameworks (experience with Dataiku is a strong plus).
Contribute to automation, performance measurement workflows, and algorithm validation frameworks.
Participate in performance tuning, quality validation, and continuous improvement of system optimization logic.
PREFERRED EXPERIENCE
Familiarity with client PC benchmarking tools and methodologies such as Procyon, 3DMark, Cinebench, BAPCo, etc.
Experience working with
ML toolchains, workflows, or model deployment.
Dataiku or similar data science platforms.
Understanding of PC system architecture, hardware abstraction, or platform performance tuning.
Experience integrating algorithms into production environments across varied hardware configurations.
ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in related discipline preferred
This role is not eligible for visa sponsorship.
#LI-LB1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
THE ROLE
We are looking for a highly skilled Developer / Data Scientist to join our product development organization focused on power and performance optimization for client PC platforms. This role sits at the intersection of data science, low-level systems engineering, and algorithm development. You will work closely with engineering and architecture teams to analyze telemetry at scale, tune dynamic optimization algorithms, and help shape how modern PCs adapt to diverse hardware configurations and real-world usage scenarios.
This is an ideal position for someone who is equally passionate about deep data analysis and hands‑on software engineering, and who enjoys translating complex findings into actionable insights for stakeholders across engineering, leadership, and partner organizations.
THE PERSON: This role matches well for someone who
Loves switching between data science and systems-level development.
Enjoys both experimental analysis and product-scale engineering.
Thrives in teams that sit close to hardware, firmware, and advanced algorithm design.
Wants their work to influence real customer experiences across massive PC populations.
KEY RESPONSIBILITIES
Data Science & Analysis
Analyze detailed power and performance instrumentation, including battery life, thermal behavior, and workload responsiveness.
Perform investigations ranging from deep‑dive single‑system analyses to broad statistical studies across hundreds of thousands of devices in the field.
Build, refine, and maintain tooling, dashboards, visualizations, and interactive analysis pipelines to help engineering teams understand trends and anomalies.
Apply strong statistical fundamentals to model relationships, quantify uncertainty, drive insights, and ensure rigor in conclusions.
Translate complex analytical findings into clear narratives for both technical and non‑technical audiences.
Work with industry benchmark data (Procyon, 3DMark, Cinebench, BAPCo, etc.) to dissect performance outcomes and drive improvements.
Software & Algorithm Development
Develop and maintain tools (primarily in Python and C) that characterize, optimize, and integrate power/performance algorithms, including ML‑based components.
Contribute to the design and tuning of algorithms that dynamically adjust hardware parameters based on system configuration, environment, and user scenarios.
Collaborate with cross‑functional teams to integrate these algorithms into production environments and partner-facing SDKs.
Implement robust, scalable data pipelines, ML workflows, or validation frameworks (experience with Dataiku is a strong plus).
Contribute to automation, performance measurement workflows, and algorithm validation frameworks.
Participate in performance tuning, quality validation, and continuous improvement of system optimization logic.
PREFERRED EXPERIENCE
Familiarity with client PC benchmarking tools and methodologies such as Procyon, 3DMark, Cinebench, BAPCo, etc.
Experience working with
ML toolchains, workflows, or model deployment.
Dataiku or similar data science platforms.
Understanding of PC system architecture, hardware abstraction, or platform performance tuning.
Experience integrating algorithms into production environments across varied hardware configurations.
ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in related discipline preferred
This role is not eligible for visa sponsorship.
#LI-LB1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
