Senior Deep Learning Research Engineer – Multimedia GPU team

Role overview

Senior Deep Learning Research Engineer – Multimedia GPU team at NVIDIA

Pioneer Generative AI - Audio Architecture: Lead the research, design, and development of state-of-the-art deep learning models solving complex problems in audio and speech domains.

We are looking for a visionary Senior Deep Learning Research Engineer to join our team.

Responsibilities

• Drive Future Technology Roadmaps: Define the technical vision and R&D strategy for NVIDIA’s future Audio, Speech and multimedia DL algorithms, ensuring alignment with hardware advancements.
• Scale Massive Foundation Models: Train and optimize large-scale generative models (Diffusion, Transformers, Autoregressive models) using distributed training across massive GPU clusters.
• Audio-Speech-Visual Fusion: Develop advanced algorithms for speech transformation, spatial audio, audio enhancements, and real-time video/audio enhancements using Deep Learning Algos.
• Cross-Functional Leadership: Collaborate closely with NVIDIA Research, hardware architecture teams, and product groups (such as NeMo, AI4Media, and Broadcast) to productize breakthrough technologies.
• Productize and Deploy models on Edge: Develop and productize inference models on NVIDIA GPUs and Nvidia RTX Spark platforms as SDK/Microservices after optimization.
• Technical Mentorship: Mentor senior engineers and scientists, foster a culture of technical excellence, and maintain high standards via code and design reviews.
• What we need to see:
• PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related quantitative field.
• 10+ years of industry or post-doc experience directly developing advanced deep learning models for audio, image, and video processing.
• Deep Mastery of Generative AI: Proven track record of working with Diffusion models, GANs, Transformers, VAEs, Neural Radiance Fields (NeRFs) / 3D Gaussian Splatting, GRUs etc.
• Strong Programming & Software Architecture: Elite Python coding skills with a solid foundation in production-grade software design, scalability, and data structures.
• Framework Proficiency: Expert-level hands-on experience with PyTorch and deep familiarity with multi-modal data processing pipelines (video decoding, audio DSP, spectrogram analysis).
• Proven Impact: A strong portfolio of shipped high-impact commercial AI products or a stellar publication record at top-tier AI conferences (CVPR, ICCV, SIGGRAPH, NeurIPS, ICASSP, Interspeech).
• Ways to stand out from the crowd:
• Deep understanding of Generative Audio/Speech Architecture and Algorithms
• Experience with large-scale distributed training frameworks (e.g., Megatron-LM, DeepSpeed, PyTorch FSDP) on cluster architectures.
• High proficiency in C++ and low-level GPU optimization tools like CUDA, cuDNN, Triton, or TensorRT .
• Experience in building World Models or physics-informed neural networks for video synthesis would be an add-on.
• NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
• We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Employment details

• Location: India [Bengaluru], India [Pune]

About the employer

• NVIDIA is a global leader in AI, high-performance computing, and visualization, with GPU technology powering everything from modern computers to robots, autonomous systems, and the metaverse.

Additional role details

• As the pioneer of AI computing, NVIDIA is shaping the future of next-generation multimedia, generative AI, and spatial computing.
• In this role, you will bridge the gap between Deep learning research and production, pioneering the next generation of audio foundation models.
• If you are passionate about solving ultra-complex, multi-modal AI problems that will redefine industry standards for entertainment, communication, and digital twins, come join us.