NVIDIAPosted 1d ago

Senior Software Engineer, PyTorch - Deep Learning

Senior Software Engineer, PyTorch - Deep Learning at NVIDIA scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, CA, Santa ClaraseniorFull time$184k-$288k

AI in this role

Designs and builds high-performance PyTorch deep learning framework components and GPU infrastructure for AI engineers.

pytorchcpythoncudagpus

deep-learningdistributed-systemssoftware-developmentparallel-programming

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Deep LearningDistributed SystemsSoftware DevelopmentParallel ProgrammingPyTorchCPythonCuda

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where parallel programming was part of your work. What did you do?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Deep Learning, Distributed Systems, Software Development, Parallel Programming, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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