NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. In the AI era, it’s a unique legacy of innovation that’s fueled by great technology and amazing people. Our team builds state-of-the-art AI models for video streaming and broadcasting. Our models are deployed on the NVIDIA Maxine platform for real-time video communication and content creation (https://developer.nvidia.com/maxine). Our AI technologies are also offered in NVIDIA Broadcast App to enhance the video and voice in live streaming and conference calls.

We are now looking for outstanding engineers to join the NVIDIA AI for media team. You will work alongside brilliant engineers on core technologies to solve ambitious computer vision and deep learning problems, especially building and optimizing real-time AI solutions that could run anywhere on cloud or premise.

What You’ll Be Doing:

• Develop highly efficient and low cost AI models and algorithms for computer vision and video AI

• Optimize the performance, latency and power consumption of AI models on low power processors for deep learning acceleration

• Deploying deep learning models and optimize the inference stack for real-time performance

• Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning

• Closely collaborate with different deep learning software and hardware teams across NVIDIA to influence roadmaps and deliver solutions

What We Need To See:

• Strong experience of building and optimizing innovative AI model architectures for video use cases

• Strong experience of developing efficient models with model pruning, distillation, post-quantization and quantization aware training

• Experience with analyzing and fine-tuning deep learning pipeline performance

• Experience with building real-time AI models for laptop and cloud use cases

• Hands-on development skills using deep learning libraries and frameworks such as PyTorch/TensorFlow/ONNX, TensorRT/Triton/WinML and other neural processing SDKs

• Collaboration ability to define project scope and roadmap together with the team while independently drive development effort with strong self-motivation

• 8+ years of relevant engineering or research background in deep learning and/or computer vision

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related fields (or equivalent experience)

Ways to stand out from the crowd:

• Experience with AI inference accelerating hardware and building/optimizing models on them

• Background with performance and latency analysis, profiling and tuning of AI workloads

• Experience with CUDA programming, as well as a real passion for optimizing AI system performance

• Experience of building platforms for computer vision such as real-time tracking of human face, gaze and body, as well as avatar animation and modeling.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. As a part of NVIDIA, we have the opportunity to influence the future with your vision and expertise. Are you creative? We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

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