Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Python @ 4
Hiring @ 4
Communication @ 7
Parallel Programming @ 4
PyTorch @ 4
CUDA @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
- 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.
Details
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.
Responsibilities
- 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.
Requirements
- 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
- 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.
Compensation & Other details
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 July 7, 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.
#LI-Hybrid
#deeplearning