Principal Staff Software Developer – AI/ML Performance Validation & Systems Testing
Posted 45 days ago
Job Description
This job posting has expired and no longer accepting applications.
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: A senior technical contributor that drives end-to-end delivery of software solutions, directly contributing to, and coordinating implementation and optimization across multiple teams for inference and training of machine learning models. The position will involve interfacing with software and hardware engineering teams and AMD partners to plan, develop and optimize use cases. This is an exciting opportunity to work on the cutting edge of GPU Computing for Machine Learning. THE PERSON: You are a subject matter expert and strong technical contributor with machine learning and GPU programming experience. You excel as part of a team where communication and team skills are highly valued. KEY RESPONSIBILITIES: Work within and coordinate with a small team of Validation architects on defining comprehensive system-level test plans Collaborate with Business Unit, Development, and other Validation teams on defining dependencies and proper compatibility test suites Use modern tools and instruments in day-day operations and educate other team members PREFERRED EXPERIENCE: Relevant experience in Machine Learning and/or GPU programming Experience in using and managing Datacenters in cluster environment. Knowledge of GPU and CPU architecture, and experience in GPGPU programming technologies Familiar with AMD ROCM stack or competition products Excellent communication and collaboration skills ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in a related discipline #LI-TC1 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: A senior technical contributor that drives end-to-end delivery of software solutions, directly contributing to, and coordinating implementation and optimization across multiple teams for inference and training of machine learning models. The position will involve interfacing with software and hardware engineering teams and AMD partners to plan, develop and optimize use cases. This is an exciting opportunity to work on the cutting edge of GPU Computing for Machine Learning. THE PERSON: You are a subject matter expert and strong technical contributor with machine learning and GPU programming experience. You excel as part of a team where communication and team skills are highly valued. KEY RESPONSIBILITIES: Work within and coordinate with a small team of Validation architects on defining comprehensive system-level test plans Collaborate with Business Unit, Development, and other Validation teams on defining dependencies and proper compatibility test suites Use modern tools and instruments in day-day operations and educate other team members PREFERRED EXPERIENCE: Relevant experience in Machine Learning and/or GPU programming Experience in using and managing Datacenters in cluster environment. Knowledge of GPU and CPU architecture, and experience in GPGPU programming technologies Familiar with AMD ROCM stack or competition products Excellent communication and collaboration skills ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in a related discipline #LI-TC1
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: A senior technical contributor that drives end-to-end delivery of software solutions, directly contributing to, and coordinating implementation and optimization across multiple teams for inference and training of machine learning models. The position will involve interfacing with software and hardware engineering teams and AMD partners to plan, develop and optimize use cases. This is an exciting opportunity to work on the cutting edge of GPU Computing for Machine Learning. THE PERSON: You are a subject matter expert and strong technical contributor with machine learning and GPU programming experience. You excel as part of a team where communication and team skills are highly valued. KEY RESPONSIBILITIES: Work within and coordinate with a small team of Validation architects on defining comprehensive system-level test plans Collaborate with Business Unit, Development, and other Validation teams on defining dependencies and proper compatibility test suites Use modern tools and instruments in day-day operations and educate other team members PREFERRED EXPERIENCE: Relevant experience in Machine Learning and/or GPU programming Experience in using and managing Datacenters in cluster environment. Knowledge of GPU and CPU architecture, and experience in GPGPU programming technologies Familiar with AMD ROCM stack or competition products Excellent communication and collaboration skills ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in a related discipline #LI-TC1
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