This role pays more than
82%
of similar roles. Most pay
$169,550–$241,750
— the shaded band above.
At the midpoint, this role pays about
$250k
versus about
$206k
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.
As a Principal Cloud & AI Workload Performance Analysis Engineer, you will join the team to own workloads exposed to hyperscaler custom CPUs, Arm ecosystem momentum, and AI-system architecture. You will measure cloud-native performance, price-performance, and software maturity while analyzing host-CPU effects on accelerator utilization. Your daily responsibilities include defining workload taxonomies, designing reproducible methods for microservices and data processing, and comparing AMD systems against Intel and Arm platforms. You will analyze memory bandwidth, NUMA behavior, and interconnect bottlenecks to translate scaling trends into long-term forecasts. The role requires expertise in Linux systems, container orchestration, hardware performance counters, and system telemetry. You will use these skills to solve complex problems regarding CPU-to-accelerator data movement and cross-ISA deployability while producing technical reports for partners and internal stakeholders within the cloud and AI infrastructure domain.
x86
Arm
CPU Architecture
Performance Modeling
Benchmarking
Silicon Performance Counters
NUMA
System I/O
Accelerator Utilization
Experimental Design
Configuration Control