Senior Deep Learning Engineer, Ai

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated 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. NVIDIA is at the forefront of generative AI models, from language to images. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

We are looking for a passionate, extraordinary engineer for the Enterprise Workstation team as an Architect/Senior System Software Engineer to develop software that integrates many pioneering AI libraries like TensorrRT and cuDNN. Come join the team and see how you can make a lasting impact on the world.

What You Will Be Doing

• Study and work on ground breaking Generative AI models. Ensure the best possible performance on current- and next-generation GPU architectures.
• Architect, design and use your coding expertise to optimize, deploy and productize AI models. Write effective, maintainable, and well-tested code
• Collaborate closely with the architecture, research, libraries and tools teams at NVIDIA to achieve ideal results for AI problems at hand

What We Need To See

• Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.
• Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team. History of mentoring junior engineers and interns is a plus.
• Understanding of modern techniques in Machine Learning, Deep Neural Networks, Generative AI with meaningful contributions to major open-source projects.
• 8+ years of relevant work experience. 5+ years in Machine Learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT
• A Bachelors or Masters Degree in an engineering or computer science related field or equivalent experience
• Strong knowledge of C/C++, python and firsthand experience with parallel programming, ideally CUDA C/C++.
• Background with container technologies, such as dockers will be a bonus

The base salary range is $216,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits .

NVIDIA is committed to fostering a diverse 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.