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AMD
Texas, United States
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
In this critical and highly technical role, you will be responsible for executing AMD's Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers. This position provides a unique opportunity to leverage your expertise in graphics, compute, datacenter technologies, virtualization, AI/Machine Learning, and program management to collaborate with customers utilizing
AMD Instinct™ Accelerators.
You must be a team player with a strong commitment to meeting deadlines and the ability to thrive in a fast-paced, multi-tasking environment.
The ideal candidate possesses exceptional datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking. They are highly analytical, detail-oriented, self-motivated, and maintain a positive, results-driven attitude. This role may require up to 25% travel.
Datacenter customer support roles.
Large-scale cluster deployment within hyperscale datacenters.
Server architecture and functionality, including remote management, network topologies, and graphics software/hardware subsystems.
Linux installation, setup, usage, and debugging.
Virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management.
Datacenter GPU software stacks such as AMD
ROCm
™ or Nvidia CUDA.
Validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents.
AI/Machine Learning workloads, frameworks, and models.
Strong debugging, problem-solving, and analytical skills.
Excellent verbal and written communication skills for conveying technical information.
Self-starter with attention to detail, organizational skills, and the ability to multitask in a fast-paced environment.
Bachelor’s or
Master’s degree in computer engineering
, Electrical Engineering, Computer Science or equivalent.
Technical certifications in relevant software systems are highly desirable
L
Temple, TX
This role is not eligible for visa sponsorship.
In this critical and highly technical role, you will be responsible for executing AMD's Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers. This position provides a unique opportunity to leverage your expertise in graphics, compute, datacenter technologies, virtualization, AI/Machine Learning, and program management to collaborate with customers utilizing
AMD Instinct™ Accelerators.
You must be a team player with a strong commitment to meeting deadlines and the ability to thrive in a fast-paced, multi-tasking environment.
The ideal candidate possesses exceptional datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking. They are highly analytical, detail-oriented, self-motivated, and maintain a positive, results-driven attitude. This role may require up to 25% travel.
Datacenter customer support roles.
Large-scale cluster deployment within hyperscale datacenters.
Server architecture and functionality, including remote management, network topologies, and graphics software/hardware subsystems.
Linux installation, setup, usage, and debugging.
Virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
Datacenter GPU software stacks such as AMD
ROCm
™ or Nvidia CUDA.
Validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents.
AI/Machine Learning workloads, frameworks, and models.
Strong debugging, problem-solving, and analytical skills.
Excellent verbal and written communication skills for conveying technical information.
Self-starter with attention to detail, organizational skills, and the ability to multitask in a fast-paced environment.
Bachelor’s or
Master’s degree in computer engineering
, Electrical Engineering, Computer Science or equivalent.
Technical certifications in relevant software systems are highly desirable
L
Temple, TX
This role is not eligible for visa sponsorship.