Senior Deep Learning Frameworks Sustaining Engineer

NVIDIA, the world leader in accelerated computing, is seeking a Senior Deep Learning Frameworks Sustaining Engineer to join their team. This role is crucial in maintaining and improving NVIDIA's enterprise AI products, specifically working with frameworks like TensorFlow, PyTorch, and TensorRT.

The position offers a competitive salary range of $148,000 - $287,500 USD (depending on level) plus equity and benefits, reflecting NVIDIA's position as one of technology's most desirable employers. Based in Santa Clara, CA, you'll be part of a team that's driving innovation in deep learning and AI.

As a Senior Engineer, you'll be responsible for maintaining the stability and security of NVIDIA's enterprise AI frameworks. Key responsibilities include back-porting changes, managing dependencies, fixing bugs, and ensuring security compliance. This role requires strong expertise in C/C++ and Python, along with deep understanding of machine learning frameworks and build systems.

The ideal candidate brings 5+ years of software development experience and a strong educational background in Computer Science, Deep Learning, or related fields. You should be comfortable working independently while maintaining effective communication with cross-functional teams. Experience with GPU programming (CUDA) and open source project management would be valuable additions to your skill set.

At NVIDIA, you'll be working at the forefront of AI and deep learning technology, contributing to software that enables breakthroughs in image classification, speech recognition, and natural language processing. The company offers a diverse and inclusive work environment, with a strong commitment to fostering innovation and professional growth.

This role presents an excellent opportunity for an experienced engineer to make significant impacts in the field of AI while working with cutting-edge technology at a leading global company. Join NVIDIA to be part of a team that's shaping the future of accelerated computing and artificial intelligence.