Senior Deep Learning Frameworks Sustaining Engineer

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 4 CUDA @ 4 Debugging @ 6 Deep Learning @ 7 Docker @ 4 GPU @ 4 GitHub @ 4 Jenkins @ 4 Machine Learning @ 4 NLP OpenCL @ 4 PyTorch @ 4 Python @ 4 Security Software Development @ 6 TensorFlow @ 4 TensorRT

Details

NVIDIA is hiring software engineers for its Deep Learning Frameworks Sustaining Engineering team. The team produces software that powers deep learning applications, including image classification, speech recognition, and natural language processing. The role involves working directly with deep learning framework developers and integrating with open-source codebases.

Responsibilities

Back-port changes from the mainline branch.
Track open-source dependency changes and ensure the latest stable dependencies are used for enterprise products.
Contribute changes supporting timely Long Term Support releases for TensorFlow, PyTorch, and TensorRT.
Fix customer-reported bugs and integrate bug fixes from mainline branches.
Work with other teams to ensure open-source dependencies are patched for security vulnerabilities.
Support the needs of NVIDIA AI Enterprise business subscribers.
Contribute to release stability and communicate release status in a detailed and effective manner.

Requirements

Bachelor of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
5+ years of relevant software development experience.
Excellent C/C++ programming and software design skills, including debugging and open-source integration.
Python experience is helpful.
Experience with software build tools such as Make, Docker, and Bazel.
Familiarity with packaging systems such as Debian, pip, and npm.
Experience with build and continuous integration systems such as GitLab CI and Jenkins.
Prior experience with machine learning algorithms and frameworks such as TensorFlow, PyTorch, or MXNet.
Ability to work independently, contribute to release stability, and communicate status effectively in a detail-oriented manner.

Preferred Qualifications

GPU programming experience with CUDA or OpenCL.
Experience contributing to or managing large open-source projects, including GitHub, bug tracking, branching and merging code, open-source licensing issues, and patch management.
Familiarity with GitLab CI pipelines.

Benefits

Equity eligibility.
Benefits eligibility.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.