This role pays less than
56%
of similar roles. Most pay
$177,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$206k
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.
As a Senior AI Application Developer - GPU and SOC Architecture Modeling, you will join the Architecture Modeling group to develop and deploy scalable GenAI applications integrated with simulation platforms and architecture team workflows. You will utilize state-of-the-art AI tools and techniques to accelerate GPU and SOC architecture modeling while collaborating with hardware architects to design and customize AI-based solutions for specific problem domains. Additionally, you will work with infrastructure engineers to incorporate LLMs into automated workflows and research emerging technologies to evolve the development ecosystem. The role requires proficiency in C++, Python, and ML frameworks such as LangChain, LangSmith, Claude Agent SDK, or Nemo Agent Toolkit. You must have experience with LLMs like GPT, Claude, and Llama, along with multimodal models and a background in computer architecture modeling.
GPU Architecture
C
C++
Python
Perl
Parallel Programming Models
High Performance Computing
RTL
Graphics Algorithms
Signal Processing
Simulators
Databases
Test Infrastructure
Computer Architecture
CUDA
OpenCL
C
C++
Python
MPI
NVSHMEM
OpenSHMEM
IPC
Benchmarking
Profiling
Linear Algebra
Numerical Methods
High Performance Computing
Machine Learning
AI