Join the CPU performance architecture team as a senior specialist to drive the development of cutting-edge CPU technology for diverse applications including AI/ML, HPC, CSP, gaming, VR, and autonomous vehicles. Your daily tasks will involve workload bring-up and performance analysis on silicon and full-system simulators, studying real-world use-cases to identify critical application behavior, debugging performance bottlenecks in multi-core and multi-socket systems, and collaborating with architects to enhance future CPU designs based on your insights. Ideal candidates have a BS/MS in Electrical Engineering, Computer Science, or equivalent experience, along with 12+ years of relevant industry background, deep knowledge of CPU microarchitecture, and proficiency in performance test development and benchmarking. Familiarity with ARM ISA, GPU driver experience, and expertise in AI frameworks like PyTorch are advantageous as NVIDIA continues to innovate in the CPU server market, integrating seamlessly with its GPUs and SoCs for superior performance efficiency across various industries.
Skills
Python
C++
ARM
PyTorch
NVIDIA
GPU
HPC
AI
DL
CI/CD
Linux
Performance_Benchmarking
CPU_Microarchitecture
System_Architecture
Simulator
Multi_Core_Systems
Interconnect_Architecture
Performance_Optimization
Benchmarking
ISA
What you'll do
Conduct workload bring-up and performance analysis on silicon and full-system simulators.
Study real-world use-cases to identify critical application behavior and create test cases.
Analyze and debug performance scaling bottlenecks in multi-core and multi-socket CPU systems.
Work with architects to improve future CPU designs based on performance findings.
Benchmark NVIDIA’s CPUs against competitors and recommend software or hardware improvements.
What we're looking for
BS/MS in Electrical Engineering, Computer Science, or equivalent experience.
12+ years of relevant experience in CPU performance analysis and workload study.
Deep knowledge of CPU microarchitecture and system architecture.
Experience with ARM instruction set architecture (ISA).
Proficiency in benchmarking and test development for CPU and I/O performance.
Market check
Salary context
This
$224,000–$356,500
range sits above
97%
of similar postings on FindRole.
Peer median band
$160,154–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,900–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Us, Ca, Santa Clara, US30 days ago
$224,000–$356,500
C/C++
Python
ARM
SimPoint
Pytorch
TensorFlow
Sampling methodology
Data science
User-mode and kernel-mode drivers
Functional and performance simulators
CPU/GPU application development
NVIDIA Grace CPU Superchip
Vera CPU
Remote (Us, Ca, Santa Clara, US)44 days ago
$152,000–$241,500
C/C++
CPU architecture
ARM
x86
memory subsystem
cache
DRAM
storage
parallel programming
vectorization
concurrency
distributed database systems
Spark
compression
storage systems
networking
distributed computer architectures
GPU architectures
CI/CD