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.
What you will be doing:
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.
What we need to see:
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 from the crowd:
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.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, with a passion to impact AI development worldwide, we want to hear from you.
#LI-Hybrid
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 - 241,500 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 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.#deeplearningSkills Required
- 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
- Experience with Thread and Distributed Parallel Programming
- Background developing large software projects
- Strong verbal and written communication skills
- Experience with CUDA programming
- Experience with Python
- Contributions and participation in open source
- Familiarity with deep learning compilers
- Familiarity with deep learning modeling trends
- Demonstrated experience working with multi-disciplinary teams
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.
-
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.
-
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.
-
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.”
.png)
