This role pays less than
62%
of similar roles. Most pay
$156,725–$235,750
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$196k
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
867 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 849 roles with salary data.
Senior Solution Engineer, Compute Systems joins the NVEX Solutions Engineering team to provide direct support for enterprise customers using GPU accelerated platforms like DGX, HGX, and MGX. This role involves triaging hardware platform issues and AI/ML workloads in large datacenters of rack-scale platforms while developing software products and internal tools. The engineer will manage customer cases from inception to resolution, providing logs and reproduction data to engineering teams while documenting interactions for the knowledge base. Key technical requirements include proficiency in Linux, C/C++, and Python, along with expertise in system software such as firmware, BIOS, kernels, and drivers. Candidates should possess experience with multi-GPU platforms, containerized solutions like Docker, Kubernetes, or Slurm, and potentially skills in CUDA, NCCL, or MPI to optimize distributed GPU-accelerated workloads and solve complex technical problems for customers.
AI
Machine Learning
Python
CUDA
PyTorch
JAX
Linux
Docker
Kubernetes
HPC
RAG
Vector Databases
Distributed Training
GPU Acceleration
Inference Optimization