Senior AI Frameworks Engineer
Nvidia
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How this pay compares to similar roles
This role pays more than 69% of similar roles. Most pay $151,000–$213,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $182k 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 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a Senior Software Engineer, CUTLASS Platform, you will join the Deep Learning Library team to develop core components of the CUTLASS platform, an open-source ecosystem for high-performance linear algebra and Tensor Core primitives. You will build Tensor Core MMAs, copies, synchronization barriers, and schedulers using CUDA C++ and a CUTLASS Python DSL. Your work involves advancing the MLIR-based backend compiler stack by designing dialects and compiler passes while authoring example kernels to showcase novel GPU hardware features. The role requires expertise in C++, Python, and high-performance code generation, alongside knowledge of compiler transformations and optimizations. You will collaborate with architecture and compiler teams to evaluate programming models for deep learning computations. This position focuses on solving complex problems in matrix multiply operations and providing abstractions for advanced GPU hardware features.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
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