Are you passionate about blazing the unbounded field of deep learning and building the best software tools for developers? We are looking for an outstanding software engineer to join the Developer Tools organization at NVIDIA that aims at delivering the best-in-class tool to enable streamlined design and optimization of high-performance deep neural network models in a unified environment. Come join the team and see how you can make a lasting impact on the world!
What You Will Be Doing:
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.
What We Need to See:
Master’s degree in computer science, mathematics, or related engineering fields (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 DL frameworks such as PyTorch, Tensorflow, or JAX.
Strong programming skills in Python or C++.
Excellent communication and interpersonal skills. Self-motivated and ability to work effectively with geographically distributed and multi-functional teams.
Ways to Stand Out from the Crowd:
In-depth knowledge of PyTorch and ONNX. Familiar with NVIDIA DL software stacks (TensorRT, etc.).
Hands-on experience with developing real-world deep learning applications, from training to deployment.
Experience and/or interests in building software tools for designing and optimizing deep neural network models.
NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love challenges and make a difference? If so, we want to hear from you.
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 an inclusive 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.Skills Required
- Master's degree in computer science, mathematics, or related engineering fields (or equivalent experience).
- At least 5 years of relevant technical work experience.
- Excellent foundational knowledge of deep learning and hands-on experience with SOTA computer vision and large language models.
- Working experience with DL frameworks such as PyTorch, TensorFlow, or JAX.
- Strong programming skills in Python or C++.
- Excellent communication and interpersonal skills; ability to work with geographically distributed, multi-functional teams.
- In-depth knowledge of PyTorch and ONNX; familiarity with NVIDIA DL software stacks (TensorRT, etc.).
- Hands-on experience developing real-world deep learning applications from training to deployment.
- Experience or interest in building software tools for designing and optimizing deep neural network models.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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