below marketmost similar roles pay hereabove market
This role pays less than
76%
of similar roles. Most pay
$161,300–$235,750
— the blue band above.
At the midpoint, this role pays about
$160k
versus about
$199k
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
1792 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1179 roles with salary data.
Deep Learning Performance Architect - New College Grad 2027 will join the GPU compute architecture and performance engineering team to improve the efficiency and scalability of large language models, agentic AI, and other generative AI workloads. The role involves building pre-silicon performance and system-level models to understand workload behavior, architecture tradeoffs, and projection accuracy. Key responsibilities include developing correlation methodologies, identifying performance bottlenecks across kernels and data movement, and studying how GPU microarchitecture choices affect end-to-end performance. Candidates must possess programming skills in C++ and Python, along with knowledge of Transformers and ML frameworks like PyTorch, TensorRT-LLM, Triton, Nsight, or vLLM. The work focuses on pre-silicon modeling, system-level analysis, and performance engineering to optimize generative AI models for data center and edge environments.
Deep Learning
GPU Computing
CUDA
C++
Python
C
HPC
MPI
OpenMP
Computer Architecture
Performance Modeling
Profiling
AI Inference
ASIC
Compilers
Machine Learning
Python
TensorFlow
PyTorch
Pandas
NumPy
Low Power Architecture
Power Modeling
Deep Learning
Design Compiler
PTPX
Power Artist
Scope
DAQ
ASIC Design
Performance Simulators