Fellow ROCm GPU Libraries
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 11, 2026.
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THE ROLE:
We are looking for a Fellow to join AMD’s ROCm GPU libraries team to enhance AMD’s future offerings for AI and HPC workloads. You will lead vision, architecture and design of GPU libraries for AI and HPC. You will mentor top-tier talent and drive high-priority strategic initiatives.
THE PERSON:
You are an experienced technical leader that is well versed in state-of-the-art technologies employed in optimizing AI/ML and HPC workloads for GPUs. You are passionate about solving problems to scale performance to meet the demands of future workloads.
KEY RESPONSIBILITIES:
- Strategic Leadership: Set the technical vision and roadmap for AI and HPC performance libraries. Provide deep technical leadership for library teams, and Provide deep technical leadership and guidance for GPU libraries, define the technical vision and direction for HPC.
- Performance Engineering: Lead profiling and bottleneck analysis of key workloads and work with hardware and software teams to deliver maximum performance on current hardware.
- Customer Engagement: Engage with customers and industry partners to understand their workload requirements and architect high performance solutions for their problems.
- Hardware-Software Co-design: Collaborate across hardware and software architecture teams to explain current hardware and software limitations, influence future silicon and software features, and lead the adoption of those features in GPU libraries.
- Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback.
PREFERRED EXPERIENCE:
- Deep expertise with parallel computing, scientific computing, and GPU software development and performance optimization
- Deep experience with system software development in C/C++, and GPU software development and parallel programing
- Advanced knowledge of GPU microarchitecture and programming models
- Analytical and performance analysis skills
- Effective communication and problem-solving skills
- Proven history of GPU software thought leadership, backed with patents, publications, and participation in industry standards bodies
ACADEMIC CREDENTIALS:
- PhD or MSc Computer Engineering, Computer Science, Applied Mathematics, or related fields
- Advanced degrees, such as Master’s or Ph. D. are preferred
LOCATION: USA
This role is not eligible for visa sponsorship.
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:
We are looking for a Fellow to join AMD’s ROCm GPU libraries team to enhance AMD’s future offerings for AI and HPC workloads. You will lead vision, architecture and design of GPU libraries for AI and HPC. You will mentor top-tier talent and drive high-priority strategic initiatives.
THE PERSON:
You are an experienced technical leader that is well versed in state-of-the-art technologies employed in optimizing AI/ML and HPC workloads for GPUs. You are passionate about solving problems to scale performance to meet the demands of future workloads.
KEY RESPONSIBILITIES:
- Strategic Leadership: Set the technical vision and roadmap for AI and HPC performance libraries. Provide deep technical leadership for library teams, and Provide deep technical leadership and guidance for GPU libraries, define the technical vision and direction for HPC.
- Performance Engineering: Lead profiling and bottleneck analysis of key workloads and work with hardware and software teams to deliver maximum performance on current hardware.
- Customer Engagement: Engage with customers and industry partners to understand their workload requirements and architect high performance solutions for their problems.
- Hardware-Software Co-design: Collaborate across hardware and software architecture teams to explain current hardware and software limitations, influence future silicon and software features, and lead the adoption of those features in GPU libraries.
- Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback.
PREFERRED EXPERIENCE:
- Deep expertise with parallel computing, scientific computing, and GPU software development and performance optimization
- Deep experience with system software development in C/C++, and GPU software development and parallel programing
- Advanced knowledge of GPU microarchitecture and programming models
- Analytical and performance analysis skills
- Effective communication and problem-solving skills
- Proven history of GPU software thought leadership, backed with patents, publications, and participation in industry standards bodies
ACADEMIC CREDENTIALS:
- PhD or MSc Computer Engineering, Computer Science, Applied Mathematics, or related fields
- Advanced degrees, such as Master’s or Ph. D. are preferred
LOCATION: USA
This role is not eligible for visa sponsorship.
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.