Senior Deep Learning Research Engineer – Multimedia GPU team

NVIDIA is seeking a Senior Deep Learning Research Engineer to join its Multimedia GPU team. The successful candidate will pioneer the next generation of audio foundation models, bridging the gap between deep learning research and production.

Responsibilities:

• Lead the research, design, and development of state-of-the-art deep learning models for audio and speech domains
• Define the technical vision and R&D strategy for NVIDIA's future Audio, Speech, and multimedia DL algorithms
• Train and optimize large-scale generative models using distributed training across massive GPU clusters
• Develop advanced algorithms for speech transformation, spatial audio, audio enhancements, and real-time video/audio enhancements using Deep Learning Algos
• Collaborate with NVIDIA Research, hardware architecture teams, and product groups to productize breakthrough technologies
• Develop and productize inference models on NVIDIA GPUs and Nvidia RTX Spark platforms as SDK/Microservices after optimization
• Mentor senior engineers and scientists, fostering a culture of technical excellence

Requirements:

• PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related quantitative field
• 10+ years of industry or post-doc experience in developing advanced deep learning models for audio, image, and video processing
• Proven track record of working with Diffusion models, GANs, Transformers, VAEs, Neural Radiance Fields (NeRFs), and GRUs
• Elite Python coding skills with a solid foundation in production-grade software design, scalability, and data structures
• Expert-level hands-on experience with PyTorch and deep familiarity with multi-modal data processing pipelines
• A strong portfolio of shipped high-impact commercial AI products or a stellar publication record at top-tier AI conferences