Senior Software Engineer, PyTorch - Deep Learning
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$200k–322k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 1h ago · last seen just now
- location not stated
The listing
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).
- 12+ 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.You will also be eligible for equity and benefits.
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