Senior Software Engineer, PyTorch - Deep Learning

6 Months ago • 3 Years + • $148,000 PA - $287,500 PA
Research Development

Job Description

NVIDIA seeks a Senior Deep Learning Software Engineer proficient in PyTorch to design and build PyTorch components for supercomputers. Responsibilities include optimizing GPU performance, developing production AI solutions for enterprise clients, and collaborating with internal researchers. The ideal candidate possesses strong C++ and parallel programming skills, experience in large-scale software projects, and a background in high-performance computing. Familiarity with machine learning, CUDA programming, and Python is a plus. This role involves working with diverse teams both internally and within the PyTorch community to build the world's best AI platform.
Good To Have:
  • Machine Learning familiarity
  • CUDA Programming
  • Python experience
  • Open-source contributions
  • Multi-disciplinary team experience
Must Have:
  • MS in CS/Engineering or equiv. exp.
  • 3+ years HPC experience
  • Proficient in C++
  • Thread & Distributed Parallel Prog.
  • Experience developing large projects
Perks:
  • Highly competitive salary
  • Comprehensive benefits package

Add these skills to join the top 1% applicants for this job

communication
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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 Super Computers with 1000s 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:

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

  • 3+ years professional experience in High Performance Computing.

  • Proficient with C++ programming.

  • Demonstrated experience with Thread and Distributed Parallel Programming

  • Demonstrated experience developing large software projects.

  • Strong verbal and written communication skills

Ways to stand out from the crowd:

  • Familiarity with Machine Learning.

  • Background with CUDA Programming.

  • Experience with Python.

  • Participation in the open source community.

  • 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 

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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

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