Senior Manager, GPU Application Engineering
Overview
- Added in 30 days
- 477
- At this company, still open
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:
Join AMD’s Datacenter GPU Product Application Engineering team to lead a high-performing group of engineers focused on enabling and supporting Data Center GPU customers globally. In this highly customer-centric leadership role, you will partner closely with large-scale customers and their ODM ecosystem to bring next-generation AI server platforms powered by AMD Instinct™ Accelerators to market—and ensure successful deployment and operation within customer data centers.You will serve as the technical and strategic leader for customer engagements, spanning validation, factory enablement, issue resolution, and scaled deployment, while representing the team across cross-functional and executive stakeholders.
THE PERSON:
The ideal candidate is a seasoned technical leader with deep experience in customer-facing engineering roles within data center, GPU, cloud, or HPC environments. You are equally comfortable leading teams, engaging directly with customers and ODM partners, and driving complex technical issues to resolution. You combine strong technical depth with excellent communication, execution, and people leadership skills.
You are proactive, highly organized, and thrive in fast-paced environments where customer success and technical excellence are tightly linked.
KEY RESPONSIBILITES:
• Team Leadership: Manage a team of Application Engineers engaged in validating AMD GPU products within AI server platforms, supporting ODM factory operations, and enabling customer deployments.
• Issue Resolution: Oversee the triage, debugging, and resolution of customer issues, ensuring timely coordination with internal engineering and product teams.
• Escalation Management: Serve as the primary escalation point for complex customer engineering challenges, driving resolution and customer satisfaction.
• Technical Guidance: Advise Customers and ODM partners on AMD tools, validation methodologies, and interpretation of test results.
• Manufacturing Enablement: Collaborate with ODM factory teams to develop manufacturing scripts and test programs that ensure reliability at scale.
• Customer Communication: Contribute to the creation and review of technical presentations, training materials, and other customer-facing documentation.
• Resource & Onboarding Management: Oversee hardware resource allocation and lead onboarding and enablement for new hires and contractors.
• Strategic Representation: Represent the team in strategic planning forums and cross-functional initiatives.
PREFERRED EXPERIENCE:
• Solid years in technical customer-facing roles such as Application Engineering, Technical Account Management, or Solutions Architecture.
• Demonstrated leadership experience managing engineering teams in data center or GPU-focused environments.
• Deep understanding of AMD GPU architecture, ROCm software stack, and performance optimization strategies.
• Proven experience supporting large-scale deployments in Cloud or HPC settings.
• Familiarity with customer engagement workflows including onboarding, triage, and escalation.
• Strong communication and stakeholder management skills across engineering, product, and executive teams.
• Experience in hiring, onboarding, and mentoring technical talent.
ACADEMIC CREDENTIALS:
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
This role is not eligible for visa sponsorship.
#LI-EV1
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:
Join AMD’s Datacenter GPU Product Application Engineering team to lead a high-performing group of engineers focused on enabling and supporting Data Center GPU customers globally. In this highly customer-centric leadership role, you will partner closely with large-scale customers and their ODM ecosystem to bring next-generation AI server platforms powered by AMD Instinct™ Accelerators to market—and ensure successful deployment and operation within customer data centers.You will serve as the technical and strategic leader for customer engagements, spanning validation, factory enablement, issue resolution, and scaled deployment, while representing the team across cross-functional and executive stakeholders.
THE PERSON:
The ideal candidate is a seasoned technical leader with deep experience in customer-facing engineering roles within data center, GPU, cloud, or HPC environments. You are equally comfortable leading teams, engaging directly with customers and ODM partners, and driving complex technical issues to resolution. You combine strong technical depth with excellent communication, execution, and people leadership skills.
You are proactive, highly organized, and thrive in fast-paced environments where customer success and technical excellence are tightly linked.
KEY RESPONSIBILITES:
• Team Leadership: Manage a team of Application Engineers engaged in validating AMD GPU products within AI server platforms, supporting ODM factory operations, and enabling customer deployments.
• Issue Resolution: Oversee the triage, debugging, and resolution of customer issues, ensuring timely coordination with internal engineering and product teams.
• Escalation Management: Serve as the primary escalation point for complex customer engineering challenges, driving resolution and customer satisfaction.
• Technical Guidance: Advise Customers and ODM partners on AMD tools, validation methodologies, and interpretation of test results.
• Manufacturing Enablement: Collaborate with ODM factory teams to develop manufacturing scripts and test programs that ensure reliability at scale.
• Customer Communication: Contribute to the creation and review of technical presentations, training materials, and other customer-facing documentation.
• Resource & Onboarding Management: Oversee hardware resource allocation and lead onboarding and enablement for new hires and contractors.
• Strategic Representation: Represent the team in strategic planning forums and cross-functional initiatives.
PREFERRED EXPERIENCE:
• Solid years in technical customer-facing roles such as Application Engineering, Technical Account Management, or Solutions Architecture.
• Demonstrated leadership experience managing engineering teams in data center or GPU-focused environments.
• Deep understanding of AMD GPU architecture, ROCm software stack, and performance optimization strategies.
• Proven experience supporting large-scale deployments in Cloud or HPC settings.
• Familiarity with customer engagement workflows including onboarding, triage, and escalation.
• Strong communication and stakeholder management skills across engineering, product, and executive teams.
• Experience in hiring, onboarding, and mentoring technical talent.
ACADEMIC CREDENTIALS:
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
This role is not eligible for visa sponsorship.
#LI-EV1
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.
Apply on the employer's site
Original posting: careers.amd.com
RISC-V ecosystem
Advanced Micro Devices (AMD) in the RISC-V ecosystem
RISC-V International: Strategic
For more than 45 years AMD has driven innovation in high-performance computing, graphics, and visualization technologies; the building blocks for gaming, immersive platforms, and the data center.
- Ships MicroBlaze V, a RISC-V soft-processor core for AMD FPGAs/adaptive SoCs (docs, Vitis quick-start guide, BSP macros)
- amd.com states AMD has been a RISC-V member since 2020
- ROCm/LLVM docs include a RISC-V code-generation target; RISC-V debug support in AMD tools
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