below marketmost similar roles pay hereabove market
This role pays more than
96%
of similar roles. Most pay
$168,762–$235,750
— the blue band above.
At the midpoint, this role pays about
$290k
versus about
$202k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
As a Senior Performance Engineer on the DGX Cloud AI Efficiency Team, you will advance the performance, efficiency, and resiliency of large-scale AI workloads. You will characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your daily responsibilities include designing rigorous performance studies, defining evaluation methodologies, and using profiling and observability to create actionable optimization plans. You will partner with deep learning engineers and GPU architects to validate improvements across compute, network, storage, and software stacks. The role requires strong programming skills in C++ and Python, a solid foundation in operating systems, computer architecture, and distributed systems, and experience with benchmarking, profiling, and optimization. You will specifically address the technical challenges of large-scale AI clusters, distributed training, and inference workloads.
CUDA
Python
C++
PyTorch
TensorFlow
JAX
NVIDIA Nsight Systems
Linux perf
InfiniBand
NVLink
RoCE
NCCL
MPI
Docker
Kubernetes
SLURM
HPC
AI
ML
Shell Scripting