This role pays more than
95%
of similar roles. Most pay
$159,125–$246,500
— the shaded band above.
At the midpoint, this role pays about
$300k
versus about
$203k
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
474 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 474 roles with salary data.
As an AI Research Scientist, you will join a core team of specialists to advance AI, high-performance computing, and energy-efficient computing. You will be responsible for identifying emerging opportunities, formulating research directions, and driving sophisticated efforts from concept through deployment. Your daily work involves characterizing workloads, evaluating models and systems, and developing groundbreaking technologies for agentic AI, scientific computing, and heterogeneous systems. You will collaborate with internal specialists and external partners like national laboratories and universities to influence future products. The role requires expertise in Linux-based environments, GPU computing, distributed systems, and software development tools such as GitHub and profilers. You will apply a data-driven approach to solve problems regarding performance, scalability, and total cost of computation while developing innovative research prototypes and production-oriented software across large clusters and supercomputers.
Identify and develop technologies that influence future products across AI, HPC, and energy-efficient computing.
Apply a scientific approach to workload characterization, model evaluation, and performance analysis.
Monitor industry trends in AI models, agentic AI, distributed computing, and emerging hardware architectures.
Design and develop groundbreaking technologies for AI training, inference, and scientific computing.
Evaluate and enable new workloads on AMD GPUs, CPUs, and software platforms using application insights.
Debug and optimize existing systems to improve performance, scalability, and energy efficiency of workloads.
Build technical relationships and lead collaborations with academic institutions, national labs, and open-source communities.
What we're looking for
Must possess technical leadership skills to identify emerging opportunities and drive research from concept through deployment.
Ability to communicate effectively and build relationships with internal teams and external partners like labs, universities, and government organizations.
Strong research and software development background in AI, HPC, and scientific computing frameworks (preferred).
Ability to write high-quality code for prototypes, performance studies, and production-oriented software (preferred).
Experience with AI model training, inference, agentic AI, distributed computing, or large-scale HPC systems (preferred).
Experience with Linux-based environments, GPU computing, and technologies for scaling applications across clusters (preferred).
Familiarity with software development tools like debuggers, source control, profilers, and benchmarking frameworks (preferred).
Master's or Doctoral degree in Computer Science, Engineering, Mathematics, Physics, or equivalent (preferred).
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Few-shot Learning
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Self-supervised Learning
Transfer Learning
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