Used Tools & Technologies
LLMRequired 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 @ 7
TensorFlow @ 4
Communication @ 4
Mathematics @ 4
PyTorch @ 4
Deep Learning @ 4
AI @ 4
Computer Vision @ 7
TensorRT @ 3
JAX @ 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 building developer tools to enable streamlined design and optimization of high-performance deep neural network models in a unified environment. Join the Developer Tools organization at NVIDIA to help deliver best-in-class tooling for deep learning practitioners and developers.
Responsibilities
- Enhance tool support to improve deep neural network design and performance efficiency.
- Partner with management and architects to translate requirements into designs and own the development.
- Stay up to date with the latest research and become a domain expert in deep learning.
Requirements
- Master’s degree in computer science, mathematics, or related engineering field (or equivalent experience).
- At least 5 years of relevant technical work experience.
- Excellent foundational knowledge of deep learning and hands-on experience working with SOTA computer vision and large language models.
- Working experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong programming skills in Python or C++.
- Excellent communication and interpersonal skills; ability to work effectively with geographically distributed and multi-functional teams.
Ways to Stand Out
- In-depth knowledge of PyTorch and ONNX. Familiarity with NVIDIA DL software stack (TensorRT, etc.).
- Hands-on experience developing real-world deep learning applications, from training to deployment.
- Experience and/or interest in building software tools for designing and optimizing deep neural network models.
Compensation & Benefits
- Base salary ranges provided by level:
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- You will also be eligible for equity and benefits.
Additional Information
- Applications accepted at least until June 9, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.