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

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Speech Recognition
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
CUDA
Pytorch
Natural Language Processing (NLP)
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

INACTIVE