Senior AI Audio Applied Research Engineer Senior AI Audio Applied Research Engineer

Nvidia

Santa Clara, CA

Full Time

Senior

224k-357k

8 days ago

Job Description

About the Role

The Senior AI Audio Applied Research Engineer at NVIDIA is responsible for understanding and summarization tasks, fine-tuning multi-modal network architectures for optimal accuracy and inference speed, writing optimal inference kernels for NVIDIA hardware, creating prototypes to demonstrate real-life applications, constructing and curating large problem-specific datasets, and collaborating with diverse teams including AI/DL researchers, hardware architects, and software engineers. The role involves staying current with the latest AI/DL research and participating in technology transfers across NVIDIA.

Key Responsibilities

Understand and perform summarization tasks related to AI audio applications.
Fine-tune multi-modal network architectures for optimal accuracy and inference speed.
Write optimal inference kernels optimized for NVIDIA hardware.
Create prototypes to demonstrate real-life applications and accelerate productization.
Construct and curate large, problem-specific datasets.
Keep up with the latest AI and deep learning research.
Collaborate with internal and external teams including AI/DL researchers, hardware architects, and software engineers.
Participate in technology transfer activities within NVIDIA.

Requirements

Master's degree in computer science/engineering, Machine Learning, AI, or related fields (or equivalent experience).
12+ years of machine learning / deep learning research or work experience.
Solid understanding of audio signal processing and natural language processing.
Excellent programming skills in C/C++.
Knowledge of parallel programming such as CUDA and TensorRT is a big plus.
Experience with deep learning frameworks such as PyTorch.
Proven research excellence via presentations, demos, or publications at leading venues such as GDC, ICCV/CVPR, NeurIPS, InterSpeech, ICASSP, SIGGRAPH, etc., or other research artifacts like software projects or significant product development.

Nice to Have

Knowledge of parallel programming (i.e., CUDA and TensorRT).

Qualifications

Master's degree or equivalent experience in relevant fields.
Extensive experience (12+ years) in machine learning or deep learning research or application.

Benefits & Perks

Competitive salaries and a generous benefits package.
Opportunity to work with some of the most forward-thinking and hardworking people in the industry.
Rapidly growing engineering teams due to unprecedented growth.
Base salary range of $224,000 - $356,500, determined by location, experience, and comparable roles.
Eligibility for equity and other compensation.

Working at Nvidia

NVIDIA fosters a diverse work environment and is committed to equal opportunity employment. The company values creativity, autonomy, and a passion for technology, with a focus on innovation and collaboration across diverse teams.

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