AMD

Director - GPU AI/ML Libraries

US
USD 176k - 251k
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Description
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: The AI GPU Software (AGS) team is looking for a Director to lead multiple AI/ML library teams developing GPU libraries for matrix multiplications, convolutions, attention, and other key AI/ML operators as part of AMD’s Radeon Open Ecosystem (ROCm) software stack. THE PERSON: To be successful in this role, you will be a hands-on leader with strong technical skills and demonstrated success shipping software in an Agile environment. You are passionate about hiring and developing your team as well as planning and managing key engineering initiatives. You have outstanding people leadership skills to lead, motivate, and guide world class engineers working in a fast-paced, matrixed, global environment. KEY RESPONSIBILITIES: Define vision and strategy for your libraries. Work closely with your teams, program and product managers, and customers to develop library roadmaps Mentor your teams to consistently deliver roadmap commitments and foster innovation that advances the state of the art in AI/ML operators Recruit, retain, and coach individuals to scale up multiple engineering teams Create a culture where data is collected and analyzed to inform decision making throughout the software development process. This ranges from a strategic focus on establishing a capability to catalog customer use cases, and benchmarks these use cases to drive iterative software optimization cycles, to a tactical focus on building and tracking metrics to proactively improve process and efficiency Drive continuous improvement in development processes, resource allocation, and execution efficiency within your teams, and collaborate with peers across AMD to scale processes to support a rapidly growing business PREFERRED EXPERIENCE: Proven success delivering complex software products through the full software product development life cycle in an Agile environment Previous experience leading multiple geographically distributed teams Experience leading software product development for HPC/AI domains where performance is paramount Familiarity with GPU software development and optimization using HIP, CUDA, or OpenCL Strong written and verbal communication skills Knowledge of AI/ML operators ACADEMIC CREDENTIALS: B.Sc. or B.Eng. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or equivalent Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred #LI-JG1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.

THE ROLE: The AI GPU Software (AGS) team is looking for a Director to lead multiple AI/ML library teams developing GPU libraries for matrix multiplications, convolutions, attention, and other key AI/ML operators as part of AMD’s Radeon Open Ecosystem (ROCm) software stack. THE PERSON: To be successful in this role, you will be a hands-on leader with strong technical skills and demonstrated success shipping software in an Agile environment. You are passionate about hiring and developing your team as well as planning and managing key engineering initiatives. You have outstanding people leadership skills to lead, motivate, and guide world class engineers working in a fast-paced, matrixed, global environment. KEY RESPONSIBILITIES: Define vision and strategy for your libraries. Work closely with your teams, program and product managers, and customers to develop library roadmaps Mentor your teams to consistently deliver roadmap commitments and foster innovation that advances the state of the art in AI/ML operators Recruit, retain, and coach individuals to scale up multiple engineering teams Create a culture where data is collected and analyzed to inform decision making throughout the software development process. This ranges from a strategic focus on establishing a capability to catalog customer use cases, and benchmarks these use cases to drive iterative software optimization cycles, to a tactical focus on building and tracking metrics to proactively improve process and efficiency Drive continuous improvement in development processes, resource allocation, and execution efficiency within your teams, and collaborate with peers across AMD to scale processes to support a rapidly growing business PREFERRED EXPERIENCE: Proven success delivering complex software products through the full software product development life cycle in an Agile environment Previous experience leading multiple geographically distributed teams Experience leading software product development for HPC/AI domains where performance is paramount Familiarity with GPU software development and optimization using HIP, CUDA, or OpenCL Strong written and verbal communication skills Knowledge of AI/ML operators ACADEMIC CREDENTIALS: B.Sc. or B.Eng. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or equivalent Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred #LI-JG1

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.

Tags: No, USD $176,260.00/Yr., USD $251,800.00/Yr., US Careers (External)
AMD
AMD
Cloud Computing Computer Embedded Systems GPU Hardware Semiconductor

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