Success Metrics
Performance-per-watt leadership against competitive solutions.
AI workload enablement and optimization coverage across strategic platforms.
Customer adoption and design-win support effectiveness.
Engineering productivity improvements through automation and tooling.
Delivery of trusted, reproducible, customer-ready performance data.
Successful execution of roadmap commitments and organizational growth.
Key Responsibilities
Technical Leadership
Define and execute AI power and performance strategy across AMD CPU, GPU, NPU, and heterogeneous computing platforms.
Establish benchmarking methodologies, performance KPIs, competitive analysis frameworks, and workload characterization processes.
Drive performance optimization across AI models, runtimes, kernels, frameworks, and system software stacks.
Identify bottlenecks and influence hardware, firmware, runtime, and software roadmap decisions through data-driven analysis.
Product and Solution Enablement
Lead performance readiness for AI solutions across Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.
Develop customer-ready performance collateral, benchmarking reports, tuning recommendations, and competitive positioning data.
Partner with software engineering teams to validate AI models, inference pipelines, SDKs, frameworks, and application workloads.
Ensure performance scalability, efficiency, reliability, and production readiness across deployed solutions.
Team Leadership
Build, lead, mentor, and grow a high-performing global engineering organization consisting of AI performance, benchmarking, and automation engineers.
Establish clear goals, execution plans, staffing strategies, and career development programs.
Foster a culture of innovation, accountability, technical excellence, and customer obsession.
Customer and Cross-Functional Engagement
Support strategic customer engagements, design-win efforts, technical escalations, and performance-related discussions.
Collaborate with Product Management, Architecture, Software Engineering, Marketing, and Field Engineering teams to define and execute winning AI platform strategies.
Represent AMD performance leadership in executive reviews, customer meetings, and industry engagements.
Automation and Infrastructure
Drive development of scalable benchmarking, automation, telemetry, profiling, and analytics infrastructure.
Establish continuous performance validation frameworks and dashboards for workload tracking and regression analysis.
Improve engineering efficiency through CI/CD integration and automated performance qualification systems.
Required Qualifications
Proven experience in software engineering, system performance, Edge physical AI, embedded platforms, or related domains.
Proven experience leading engineering teams and delivering complex technical programs.
Proven experience in Power and Power PnP activities Pre-Silicon and Post-Silicon & Correlation
Strong understanding of AI/ML frameworks, inference runtimes, and performance optimization techniques.
Experience with heterogeneous computing architectures involving CPUs, GPUs, NPUs, and accelerators.
Excellent communication, organizational, and leadership skills.
Preferred Qualifications
Experience with AMD AI technologies including ROCm, Ryzen AI, ONNX Runtime, MIGraphX, or other AI software stacks.
Experience in Robotics, Physical AI, Automotive, Industrial, or Edge AI markets.
Familiarity with generative AI, multimodal AI, computer vision, and robotics workloads.
Knowledge of AI benchmarking, profiling tools, performance analysis, and power optimization techniques.
Experience working with geographically distributed engineering organizations.
Academic Credentials
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
Location: Austin, TX
This role is not eligible for visa sponsorship.
#LI-BW2
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.
Role Overview
The Senior Manager, AI Power & Performance (AI PnP) will lead a team responsible for delivering industry-leading AI performance, power efficiency, benchmarking, characterization, and optimization across AMD's Embedded and Edge AI platforms. This leader will partner closely with architecture, software, silicon, product management, marketing, and customer-facing teams to ensure AMD solutions achieve competitive leadership in AI workloads spanning Robotics, Physical AI, Automotive, Industrial, and Edge Computing.
Why Join Physical AI Organization?
Join a fast-growing organization shaping AMD's vision for Physical AI, Robotics, Automotive, Industrial, and Edge AI solutions. This role offers the opportunity to influence next-generation AI platforms, build world-class engineering teams, and drive technology that powers intelligent systems across a wide range of industries.
Success Metrics
Performance-per-watt leadership against competitive solutions.
AI workload enablement and optimization coverage across strategic platforms.
Customer adoption and design-win support effectiveness.
Engineering productivity improvements through automation and tooling.
Delivery of trusted, reproducible, customer-ready performance data.
Successful execution of roadmap commitments and organizational growth.
Key Responsibilities
Technical Leadership
Define and execute AI power and performance strategy across AMD CPU, GPU, NPU, and heterogeneous computing platforms.
Establish benchmarking methodologies, performance KPIs, competitive analysis frameworks, and workload characterization processes.
Drive performance optimization across AI models, runtimes, kernels, frameworks, and system software stacks.
Identify bottlenecks and influence hardware, firmware, runtime, and software roadmap decisions through data-driven analysis.
Product and Solution Enablement
Lead performance readiness for AI solutions across Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.
Develop customer-ready performance collateral, benchmarking reports, tuning recommendations, and competitive positioning data.
Partner with software engineering teams to validate AI models, inference pipelines, SDKs, frameworks, and application workloads.
Ensure performance scalability, efficiency, reliability, and production readiness across deployed solutions.
Team Leadership
Build, lead, mentor, and grow a high-performing global engineering organization consisting of AI performance, benchmarking, and automation engineers.
Establish clear goals, execution plans, staffing strategies, and career development programs.
Foster a culture of innovation, accountability, technical excellence, and customer obsession.
Customer and Cross-Functional Engagement
Support strategic customer engagements, design-win efforts, technical escalations, and performance-related discussions.
Collaborate with Product Management, Architecture, Software Engineering, Marketing, and Field Engineering teams to define and execute winning AI platform strategies.
Represent AMD performance leadership in executive reviews, customer meetings, and industry engagements.
Automation and Infrastructure
Drive development of scalable benchmarking, automation, telemetry, profiling, and analytics infrastructure.
Establish continuous performance validation frameworks and dashboards for workload tracking and regression analysis.
Improve engineering efficiency through CI/CD integration and automated performance qualification systems.
Required Qualifications
Proven experience in software engineering, system performance, Edge physical AI, embedded platforms, or related domains.
Proven experience leading engineering teams and delivering complex technical programs.
Proven experience in Power and Power PnP activities Pre-Silicon and Post-Silicon & Correlation
Strong understanding of AI/ML frameworks, inference runtimes, and performance optimization techniques.
Experience with heterogeneous computing architectures involving CPUs, GPUs, NPUs, and accelerators.
Excellent communication, organizational, and leadership skills.
Preferred Qualifications
Experience with AMD AI technologies including ROCm, Ryzen AI, ONNX Runtime, MIGraphX, or other AI software stacks.
Experience in Robotics, Physical AI, Automotive, Industrial, or Edge AI markets.
Familiarity with generative AI, multimodal AI, computer vision, and robotics workloads.
Knowledge of AI benchmarking, profiling tools, performance analysis, and power optimization techniques.
Experience working with geographically distributed engineering organizations.
Academic Credentials
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
Location: Austin, TX
This role is not eligible for visa sponsorship.
#LI-BW2
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.
