below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$168,552–$235,750
— the blue band above.
At the midpoint, this role pays about
$235k
versus about
$202k
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
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
As a Senior Performance Modeling Engineer on the electronics design engineering team, you will serve as a Performance Architect focusing on next-generation GPU and data center systems. Your primary responsibilities include participating in microarchitecture exploration, performance modeling, and analysis to solve application performance issues. You will propose solutions to enhance performance and optimize power while performing micro-benchmarking, workload characterization, competitive analysis, and bottleneck identification. You will also develop tools and methodologies for performance analysis of workloads. The role requires expertise in GPU, CPU, or computer system microarchitecture, along with experience in computer system performance models and workload analysis. Technical skills include strong programming proficiency in C++ and Python. This role addresses performance and power optimization challenges for cloud computing and machine learning acceleration.
Architect, analyze, and optimize high-performance SoCs for cloud computing and machine learning acceleration.
Propose and implement solutions to enhance performance and optimize power for next-generation GPU SoCs.
Participate in microarchitecture exploration, performance modeling, and analysis for data center systems.
Conduct micro-benchmarking, workload characterization, and competitive analysis to identify performance bottlenecks.
Develop tools and methodologies for the performance analysis of various workloads.
Communicate and implement technical solutions to address processor and system performance issues.
What we're looking for
PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field plus 5 years of experience.
MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field plus 8 years of experience as a Computer Architect or Design Engineer.
Bachelors degree plus 12 years of relevant experience.
Masters or PhD with emphasis on Computer Architecture performance studies (preferred).
Experience with GPU, CPU, or computer system microarchitecture (preferred).
Experience with the development and usage of computer system performance models (preferred).
Experience with computer workload analysis (preferred).
Strong programming skills, including experience with C++ and Python (preferred).
C++
SystemC
Python
CPU Microarchitecture
Cache Coherency Protocols
Network-on-Chip (NoC)
CHI
ACE
SPEC
MLPerf
ISO 26262
CXL
HBM
Performance Modeling
Formal Methods
PMU
Data Center Architecture
Automotive SoCs
CPU Microarchitecture
Performance Modeling
Cycle-accurate Simulators
C++
Python
Workload Analysis
Performance Profiling
power, and area trade-offs
Software Engineering Practices
CPU Architecture
Micro-architecture
C
C++
Python
Perl
JavaScript
SoC
ML
AR/VR
Performance Analysis
Compiler Technology
OS Internals
Data Analysis Frameworks
Simulation