This role pays more than
99%
of similar roles. Most pay
$157,500–$235,750
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$197k
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
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.
As a senior systems software engineer on NVIDIA’s DGX Station team, you will ensure production readiness of AI applications like NemoClaw, LLM inference via NIM, and deep learning frameworks by profiling workloads, identifying bottlenecks across GPU compute, NVLink, memory, and host interconnects, and driving optimizations from kernel tuning to application-level improvements. You’ll collaborate with framework, compiler, and GPU architecture teams to enhance performance on the GB300 Blackwell multi-GPU platform, validate multi-user scenarios, and ensure version compatibility of NVIDIA’s AI software stack. Proficiency in deep learning frameworks (PyTorch, TensorFlow, JAX), GPU profiling tools, C/C++, CUDA, and Python is essential, along with experience optimizing LLM training or inference on multi-GPU systems and contributing to open-source projects.
C++
Python
PyTorch
TensorFlow
Kubernetes
Slurm
CUDA
NCCL
Linux
NVIDIA_GPUs
GPU_Cluster_Job_Scheduling
Distributed_Training_Inference
CI/CD
Prometheus
Grafana