Senior Deep Learning Software Engineer, Inference
Nvidia
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How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $150,000–$177,250 — the blue band above. At the midpoint, this role pays about $236k versus about $164k 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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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At a glance
Senior Software Engineer — cuEquivariance joins the cuEquivariance team to develop production GPU kernels and software interfaces for equivariant deep learning. This role involves building, implementing, and optimizing CUDA kernels for equivariant neural network primitives, including tensor products and segmented polynomials, to achieve peak performance across NVIDIA GPU generations. You will develop and maintain interfaces for PyTorch and JAX, drive CI/CD infrastructure for multi-GPU builds, and collaborate with research teams to translate prototypes into production-quality software. The position requires deep proficiency in C++, Python, and CUDA programming, alongside a foundation in GPU memory hierarchy and performance profiling. The work addresses the technical challenge of accelerating geometric neural networks for researchers in molecular biology, materials science, and physics, enabling the training and deployment of equivariant models at scale.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
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