Senior System Software Engineer, Deep Learning

Details

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It’s a unique legacy of innovation fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing – an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our team is comprised of dedicated scientists and engineers who thrive in a fast-paced, energetic environment. We are at the forefront of deep learning, computer vision, and computer graphics.

This is an outstanding opportunity to work alongside industry experts and contribute to cutting-edge projects. We seek strategic, ambitious, and hard-working individuals who are not only creative but also passionate about tackling complex problems that others may shy away from. If you have experience with deep learning optimization and computer vision, this role is for you. Join us in reshaping the future of technology and take on challenges that promise to be as fulfilling as they are demanding.

Responsibilities

This is a great opportunity to work on optimizing deep learning algorithms for training/finetuning, pipelines running several machine learning models, and deep learning models for inference. In this role, you will collaborate closely with our development and research teams to optimize deep learning models and integrate them into existing systems and tools.

Requirements

• Master’s degree (or equivalent experience), or preferably a PhD degree in Computer Science or a related field.
• 5+ years of experience as software engineer.
• Proven experience in mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
• Strong background in computer vision and deep learning.
• Excellent programming skills in Python and C/C++.
• Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release): proven track record developing, testing, and releasing production-grade, complex software.
• Ability to develop code in Unix/Linux environments.
• Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
• Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.

Ways to stand out from the crowd:

• Previous experience with deep learning optimization for inference, as well as training/finetuning.
• Proficiency with CUDA.
• Ability to convert research into product.

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.