Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of relevant software development experience
- Education
- Bachelors of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field or equivalent experience.
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Role Summary
NVIDIA's Deep Learning Frameworks Sustaining Engineering team develops and maintains software integrations for open source deep learning frameworks and NVIDIA AI Enterprise products. The role supports stable, timely Long Term Support releases for TensorFlow, PyTorch, and TensorRT while addressing customer and security needs.
What You'll Do
- 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 found in mainline.
- Work with other teams to ensure open source dependencies are patched for security vulnerabilities.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; experience with Make, Docker, Bazel, Debian, pip, npm, GitLab, and CI/Jenkins; prior experience with machine learning algorithms and frameworks such as TensorFlow, PyTorch, or MXNet; ability to work independently and communicate release status in a detail-oriented way.
Required
- Python experience also helpful.
- GPU programming experience (CUDA or OpenCL) desired but not required.
- Experience with contributions to or managing large open source project - use of github, bug tracking, branching and merging code, OSS...
- Familiarity with Gitlab CI pipelines
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is hiring software engineers for its Deep Learning Frameworks Sustaining Engineering team. Our team produces software that's powering a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing! Help us build software which will be used by the entire world by working directly with deep learning framework developers by integrating with open source code bases.
What you'll be doing:
In this role, responsibilities will include back-porting changes from the mainline branch, keeping track of open source dependency changes, and ensuring the latest stable dependencies are being used for our enterprise products. You will actively contribute changes to the team to support timely Long Term Support releases for the TensorFlow, PyTorch, TensorRT products. The scope of these efforts includes fixing customer reported bugs, integrating bug fixes found in mainline and working with other teams to ensure open source dependencies are patched for security vulnerabilities to address the needs of NVIDIA AI Enterprise business subscribers.
What we need to see:
Bachelors of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or 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 also helpful.
Utilizing tools involved in building software (Make, Docker, Bazel), packaging systems (Debian, pip, npm, etc.), Build Systems (Gitlab, CI/Jenkins).
Prior experience with machine learning algorithms and frameworks (TensorFlow, PyTorch, or MXNet).
Ability to work independently, contribute to the stability of releases, and effectively communicate status to those involved in the release in a detail-oriented way.
Ways to stand out from the crowd:
GPU programming experience (CUDA or OpenCL) desired but not required
Experience with contributions to or managing large open source project - use of github, bug tracking, branching and merging code, OSS licensing issues, managing patches, etc.
Familiarity with Gitlab CI pipelines
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, 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 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.