N

NVIDIA

Designs the chips and software that power AI

Senior Deep Learning Frameworks Sustaining Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

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

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 to support timely Long Term Support releases for TensorFlow, PyTorch, and TensorRT products.
  • Fix customer-reported bugs and integrate bug fixes found in the mainline branch.
  • Work with other teams to ensure open-source dependencies are patched for security vulnerabilities to meet the needs of NVIDIA AI Enterprise subscribers.

Desired Qualifications

  • Experience with GPU programming using 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 managing patches.
  • Familiarity with GitLab CI pipelines.
  • Python experience.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs