Senior Software Engineer - Developer Tools for Deep Learning

Nvidia

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $152,000–$241,500 / yr
Posted: 8 days ago

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Competitive pay

How this pay compares to similar roles

Similar $192k

This role $197k

$141k most similar roles pay here $252k

This role pays more than 52% of similar roles. Most pay $157,500–$226,650 — the shaded band above. At the midpoint, this role pays about $197k versus about $192k for comparable roles.

Based on 240 similar postings.

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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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - Developer Tools for Deep Learning

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Join NVIDIA’s Developer Tools organization as an outstanding software engineer and help build best-in-class tools for designing and optimizing high-performance deep neural network models. You will enhance tool support to improve design and performance efficiency, collaborate with management and architects to translate requirements into designs, and stay current with the latest research trends in deep learning. Ideal candidates hold a master’s degree or equivalent experience in computer science, mathematics, or related fields, with at least five years of relevant technical work experience. Strong programming skills in Python or C++, hands-on experience with PyTorch, TensorFlow, JAX, and NVIDIA DL software stacks like TensorRT are essential, along with expertise in developing real-world deep learning applications from training to deployment.

Skills

PyTorch TensorFlow JAX Python C++ ONNX TensorRT CI/CD Git Docker Kubernetes AWS Azure GitHub CUDA NVIDIA_Deep_Learning_Stacks PostgreSQL MongoDB REST_APIs Swagger

What you'll do

Enhance tool support to improve design and performance efficiency of deep neural networks.
Translate requirements into designs for high-performance deep learning models.
Stay current with deep learning research to become a domain expert.
Develop real-world applications using PyTorch, TensorFlow, or JAX frameworks.
Build software tools for designing and optimizing deep neural network models.
Work effectively in geographically distributed teams on multi-functional projects.

What we're looking for

Master’s degree in computer science, mathematics, or related field.
At least 5 years of relevant technical work experience.
Expertise in deep learning with hands-on experience in SOTA models.
Proficiency in Python and/or C++ programming languages.
Experience working with PyTorch, TensorFlow, JAX, and ONNX frameworks.
In-depth knowledge of NVIDIA DL software stacks like TensorRT.
Ability to develop real-world deep learning applications from training to deployment.

Senior Systems Software Engineer - Deep Learning Solutions

Nvidia

Santa Clara, CA 94 days ago $224,000–$356,500

CUDA TensorRT TVM MLIR XLA Python C/C++ QNX Linux GPU Deep Learning Transformer Models Vision-Language Models Diffusion Models State Space Models Parallel Programming Memory Management Embedded Systems CI/CD MLPerf

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