This role pays more than
80%
of similar roles. Most pay
$165,750–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$201k
for comparable roles.
Based on 240 similar postings.
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Data Center Performance Engineer - Benchmarking and Optimization will lead performance benchmarking and optimization efforts for data center products to ensure solutions deliver industry-leading performance for accelerated computing workloads. The role involves designing comprehensive benchmarking strategies, characterizing real-world AI training, inference, and HPC workloads at scale, and developing automation tools for monitoring and analysis. You will identify bottlenecks across compute, memory, network, and storage subsystems while providing architectural recommendations for future systems. Required skills include proficiency in Linux perf and NVIDIA Nsight Systems, along with experience in GPU computing, CUDA, InfiniBand, RoCE, and NVLink. The candidate must possess programming skills in Python, C++, and shell scripting. Experience with PyTorch, TensorFlow, JAX, NCCL, Docker, Kubernetes, and SLURM is highly valued to solve complex performance issues within the data center platform ecosystem.
SoC
ARM v8
Python
C++
Power Analysis
Performance Analysis
Benchmarking
SMMU
GIC
CoreSight-PMU
Data Center Workloads
Logic Analyzers
Oscilloscopes
Scripting
System Architecture
Data Center Infrastructure
Critical Facility Operations
CMMS
Preventative Maintenance
Fire and Life Safety Systems
Incident Management
Risk Management
Contract Administration
Electrical Engineering
Industrial Engineering
Process Engineering