Fellow ROCm GPU Libraries

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
OR
Salary
$231,360–$347,040 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Sep 11, 2027
Nearby
22 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $289k
$148k most similar roles pay here $368k

This role pays more than 88% of similar roles. Most pay $188,912–$253,250 — the shaded band above. At the midpoint, this role pays about $289k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 379 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 379 roles with salary data.

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At a glance

TL;DR · Fellow ROCm GPU Libraries

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Fellow ROCm GPU Libraries will join the ROCm GPU libraries team to lead the vision, architecture, and design of GPU libraries specifically for AI and HPC workloads. This technical leadership role involves mentoring top-tier talent, driving high-priority strategic initiatives, and defining the roadmap for performance libraries. The individual will perform performance engineering through profiling and bottleneck analysis while collaborating on hardware-software co-design to influence future silicon features. Key responsibilities include engaging with customers to architect solutions for their specific workload requirements. The role requires deep expertise in parallel computing, scientific computing, and GPU software development using C/C++. Candidates must possess advanced knowledge of GPU microarchitecture and programming models. This position addresses the technical challenge of scaling performance to meet the demands of future AI and HPC workloads through innovative library optimization.

Skills

GPU C++ C ROCm AI HPC Parallel Computing Scientific Computing Performance Engineering Profiling Hardware-Software Co-design Microarchitecture

What you'll do

  • Define the technical vision and roadmap for AI and HPC performance libraries.
  • Lead profiling and bottleneck analysis of key workloads to maximize hardware performance.
  • Engage with customers and partners to architect high-performance solutions for their specific requirements.
  • Collaborate across teams to influence future silicon features and software capabilities.
  • Drive the adoption of new hardware and software features within GPU libraries.
  • Mentor engineers and technical leaders to foster a culture of innovation and excellence.

What we're looking for

  • Experience in optimizing AI/ML and HPC workloads for GPUs.
  • Expertise in parallel computing, scientific computing, and GPU software development (preferred).
  • Experience with system software development in C/C++ and parallel programming (preferred).
  • Advanced knowledge of GPU microarchitecture and programming models (preferred).
  • Analytical skills and effective communication and problem-solving skills (preferred).
  • Proven history of GPU software thought leadership through patents, publications, or industry standards participation (preferred).
  • PhD or MSc in Computer Engineering, Computer Science, Applied Mathematics, or related fields.
  • Advanced degrees, such as Master’s or Ph.D., are preferred.

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