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NVIDIA

Senior Software Engineer, PyTorch - Deep Learning

Posted 2 Days Ago
Remote or Hybrid
5 Locations
184K-357K Annually
Senior level
Remote or Hybrid
5 Locations
184K-357K Annually
Senior level
Designs and builds PyTorch components optimized for systems ranging from thousands to hundreds of thousands of GPUs. Collaborates with hardware and software teams to improve GPU performance, develops production AI solutions for enterprise customers, and supports internal AI research tools. The role requires deep learning expertise, C++ proficiency, systems software knowledge, distributed and parallel programming experience, and large-scale software development skills.
The summary above was generated by AI

We are now looking for a Senior Deep Learning Software Engineer, PyTorch.

NVIDIA is hiring software engineers to design and build tools used by AI engineers across the world to design, develop, and deploy AI applications scalable across thousands of GPUs. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform as well as directly contributes to PyTorch, a premiere deep learning framework. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate internationally with the PyTorch community to develop the best AI platform in the world.

What you will be doing:

  • Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs.

  • Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch.

  • Design, build and support production AI solutions used by enterprise customers and partners.

  • Work with internal applied researchers to improve their AI tools.

What we need to see:

  • BS in Computer Science or Engineering (or equivalent experience).

  • 3+ years professional experience in deep learning.

  • Proficient with C++ programming.

  • Strong understanding of systems software and interfaces.

  • Demonstrated experience with Thread and Distributed Parallel Programming

  • Demonstrated background developing large software projects.

  • Strong verbal and written communication skills

Ways to stand out from the crowd:

  • Contributions and participation in the open source community.

  • Familiarity with deep learning compilers.

  • Familiarity with deep learning modeling trends.

  • Background with CUDA Programming as well as Python.

  • Demonstrated experience working with multi-disciplinary teams.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, with a passion to impact AI development worldwide, we want to hear from you.

#LI-Hybrid 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 28, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

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