Senior Software Engineer, CUTLASS Platform
Nvidia
Market check
How this pay compares to similar roles
This role pays more than 68% of similar roles. Most pay $142,400–$217,725 — the shaded band above. At the midpoint, this role pays about $197k versus about $180k for comparable roles.
Based on 240 similar postings.
Employer
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.
Most-posted roles
At a glance
Join NVIDIA’s CUTLASS team as a senior software engineer to develop high-performance linear algebra and Tensor Core primitives for AI applications. You will write Tensor Core-based deep learning kernels using CUDA C++ and Python DSL, optimizing them for peak throughput on both silicon and software simulators. Collaborate closely with GPU architecture, compiler, library, and framework teams to deliver efficient kernel solutions. Ideal candidates hold a Masters or PhD in Computer Science or related field with 3+ years of industry experience, strong C++ skills, and expertise in CUDA, PTX, and Tensor Core programming. Experience with open-source contributions to math kernel libraries is preferred. This role involves working on cutting-edge hardware architectures like Blackwell and Rubin, contributing to the AI revolution by enabling real-time, cost-effective computing solutions.
Skills
What you'll do
What we're looking for
More like this
Nvidia
Nvidia
Qualcomm
Qualcomm
Nvidia
Booz Allen Hamilton