This role pays more than
69%
of similar roles. Most pay
$142,400–$210,500
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$176k
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.
Join NVIDIA’s CUTLASS team as a senior software engineer to drive the development of high-performance linear algebra and Tensor Core primitives for AI applications. You will design abstractions for GPU hardware features using MLIR, Python, and C++, develop core components like Tensor Core MMAs and schedulers in CUDA C++ and CUTLASS Python DSL, contribute to the MLIR-based backend compiler stack by designing dialects and passes, and author example kernels showcasing novel GPU hardware features. Ideal candidates have a Master’s or PhD in Computer Science with 3+ years of industry experience, strong proficiency in C++, expertise in high-performance code generation and compiler optimizations, hands-on experience with NVVM/PTX for GPUs, and knowledge of deep learning models and frameworks.
Python
Java
C++
Linux
Agile
JIRA
Git
Docker
Jenkins
CI/CD
Roc Curve
Confusion Matrix
Geospatial Data
Spatial Transformations
Embedded Systems
API Design