Full-Time

Senior AI Audio Applied Research Engineer

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$224k - $356.5kAnnually

+ Equity

Expert

Santa Clara, CA, USA

Category
Speech Recognition
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
CUDA
Pytorch
Natural Language Processing (NLP)
C/C++
Requirements
  • Master's in computer science/engineering, Machine Learning, AI, and 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 (i.e. CUDA and TensorRT) is a big plus.
  • Expertise with deep learning frameworks such as PyTorch.
  • A track record of 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 such as software projects or significant product development.
Responsibilities
  • Research, design, and implement generative models that improve multi-modal language models with a focus on audio.
  • Use AI for solving product problems in gaming and other interactive experiences by designing techniques to adapt generative models to tasks, i.e. audio understanding and summarization.
  • Fine-tune multi-modal network architectures for optimal accuracy and inference speed; write optimal inference kernels for NVIDIA hardware.
  • Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.
  • Construct and curate large problem-specific datasets.
  • Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.
  • Participate in technology transfers to and from teams across NVIDIA.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable immersive experiences and drive advancements in multiple industries.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

2%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
  • Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

What critics are saying

  • Increased competition from AI startups like xAI could challenge NVIDIA's market position.
  • Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
  • Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match