Technical Program Manager - ROCm Deep Learning Libraries

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD is seeking a Technical Program Manager to join the ROCm Libraries organization and lead execution across the MIOpen, Composable Kernel (CK), and hipDNN software stack. In this role, you will be responsible for end‑to‑end program execution across a complex, performance‑critical set of GPU software libraries that support training and inference workloads on AMD Instinct™ GPUs. You will work closely with engineering and product leadership to drive predictable delivery, execution rigor, and continuous improvement of software development practices across multiple teams. This role operates at the intersection of kernel performance, library architecture, build systems, and customer‑driven requirements, requiring strong technical judgment, structured execution, and clear communication across deeply technical stakeholders. THE PERSON You have experience operating in technically complex software environments where performance, correctness, and platform compatibility are critical. You are comfortable navigating ambiguity and are effective at introducing structure, execution discipline, and data‑driven decision‑making. You are able to translate complex engineering trade‑offs into clear plans, risks, metrics, and delivery commitments, and you communicate effectively with both engineering teams and senior stakeholders. Key Responsibilities Program Execution Lead end-to-end delivery of MIOpen, hipDNN, and Composable Kernel across multiple GPU architectures. Coordinate execution across performance‑critical kernels, APIs, backend integrations, and build systems. Translate product and customer requirements into clear plans, schedules, and deliverables. Identify and mitigate risks related to performance, compatibility, build complexity, and cross‑team dependencies. Provide clear, regular status reporting on progress, risks, and execution health. Execution Model & SDLC Maturity Define and evolve execution models (Agile, hybrid, milestone‑driven, performance‑driven) appropriate to team and product needs. Establish best practices for planning, estimation, prioritization, dependency management, and delivery accountability. Assess execution maturity across teams and drive pragmatic, adoptable improvements in partnership with engineering leadership. Metrics & Continuous Improvement Define and track meaningful execution metrics (e.g., predictability, cycle time, throughput, planning accuracy). Use data and retrospectives to drive continuous improvement and measurable outcomes. Build durable execution mechanisms, including reviews, retrospectives with follow‑through, and shared visibility dashboards. PREFERRED EXPERIENCE Experience managing complex, interdependent software programs in GPU software, deep learning infrastructure, or high‑performance computing. Prior experience as a software developer, systems engineer, or technical program manager working close to performance‑critical or low‑level software. Demonstrated success improving software development lifecycle maturity, execution discipline, and delivery predictability. Familiarity with GPU software stacks, kernel libraries, and related tooling (e.g., HIP, math libraries, build systems). Strong analytical, reporting, and executive communication skills. Experience applying different execution models based on product and engineering needs. Proficiency with Jira, Confluence, and common program management tools. ACADEMIC CREDENTIALS Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related technical field. Formal project or program management education or certifications (e.g., PMP, Agile, Scrum) are a plus. LOCATION: Calgary, Alberta #LI-DR1 #LI-HYBRID 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.

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 AMD is seeking a Technical Program Manager to join the ROCm Libraries organization and lead execution across the MIOpen, Composable Kernel (CK), and hipDNN software stack. In this role, you will be responsible for end‑to‑end program execution across a complex, performance‑critical set of GPU software libraries that support training and inference workloads on AMD Instinct™ GPUs. You will work closely with engineering and product leadership to drive predictable delivery, execution rigor, and continuous improvement of software development practices across multiple teams. This role operates at the intersection of kernel performance, library architecture, build systems, and customer‑driven requirements, requiring strong technical judgment, structured execution, and clear communication across deeply technical stakeholders. THE PERSON You have experience operating in technically complex software environments where performance, correctness, and platform compatibility are critical. You are comfortable navigating ambiguity and are effective at introducing structure, execution discipline, and data‑driven decision‑making. You are able to translate complex engineering trade‑offs into clear plans, risks, metrics, and delivery commitments, and you communicate effectively with both engineering teams and senior stakeholders. Key Responsibilities Program Execution Lead end-to-end delivery of MIOpen, hipDNN, and Composable Kernel across multiple GPU architectures. Coordinate execution across performance‑critical kernels, APIs, backend integrations, and build systems. Translate product and customer requirements into clear plans, schedules, and deliverables. Identify and mitigate risks related to performance, compatibility, build complexity, and cross‑team dependencies. Provide clear, regular status reporting on progress, risks, and execution health. Execution Model & SDLC Maturity Define and evolve execution models (Agile, hybrid, milestone‑driven, performance‑driven) appropriate to team and product needs. Establish best practices for planning, estimation, prioritization, dependency management, and delivery accountability. Assess execution maturity across teams and drive pragmatic, adoptable improvements in partnership with engineering leadership. Metrics & Continuous Improvement Define and track meaningful execution metrics (e.g., predictability, cycle time, throughput, planning accuracy). Use data and retrospectives to drive continuous improvement and measurable outcomes. Build durable execution mechanisms, including reviews, retrospectives with follow‑through, and shared visibility dashboards. PREFERRED EXPERIENCE Experience managing complex, interdependent software programs in GPU software, deep learning infrastructure, or high‑performance computing. Prior experience as a software developer, systems engineer, or technical program manager working close to performance‑critical or low‑level software. Demonstrated success improving software development lifecycle maturity, execution discipline, and delivery predictability. Familiarity with GPU software stacks, kernel libraries, and related tooling (e.g., HIP, math libraries, build systems). Strong analytical, reporting, and executive communication skills. Experience applying different execution models based on product and engineering needs. Proficiency with Jira, Confluence, and common program management tools. ACADEMIC CREDENTIALS Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related technical field. Formal project or program management education or certifications (e.g., PMP, Agile, Scrum) are a plus. LOCATION: Calgary, Alberta #LI-DR1 #LI-HYBRID