Data Engineering Intern, Speech Data Processing - 2026 at NVIDIA

Ho Chi Minh City, Vietnam

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Current enrollment in a Bachelor’s, Master’s, or PhD program in Computer Science, Engineering, or related field
Strong programming experience in Python (or a comparable language)
Familiarity with ML frameworks/libraries (e.g., PyTorch or TensorFlow)
Foundational knowledge of NLP and speech recognition concepts
Collaborative, inclusive approach with strong problem-solving skills and curiosity

Responsibilities

Engage in improving and perfecting a sophisticated speech data normalization and alignment tool with the assistance of NVIDIA's NeMo framework
Apply techniques in text normalization and audio-text alignment to prepare large-scale datasets for advanced speech processing tasks
Ensure robust handling of input audio and textual data to deliver highly accurate, automated spoken text outputs
Collaborate with multidisciplinary teams to translate requirements into practical tool building and implementation
Conduct comprehensive testing and validation to meet exacting internal quality standards
Assist in the deployment of modern advancements geared towards improving NVIDIA’s speech and language AI technologies

Skills

Key technologies and capabilities for this role

PythonNeMoPyTorchTensorFlowNLPSpeech RecognitionText NormalizationAudio-Text AlignmentData EngineeringAudio Signal Processing

Questions & Answers

Common questions about this position

What are the required qualifications for this Data Engineering Intern role?

Candidates must be currently enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Engineering, or related field, with strong programming experience in Python (or comparable), familiarity with ML frameworks like PyTorch or TensorFlow, foundational knowledge of NLP and speech recognition, and strong problem-solving skills.

What is the salary or compensation for this internship?

This information is not specified in the job description.

Is this Data Engineering Intern position remote or full-time in office?

This information is not specified in the job description.

What experience will make me stand out for this role?

Hands-on experience with NVIDIA’s NeMo toolkit, previous internships or projects in data engineering or ML for speech applications, and knowledge of audio signal processing and text normalization will help you stand out.

What kind of team will I be working with in this role?

You will collaborate with multidisciplinary teams to translate requirements into practical tool building and implementation.

NVIDIA

Designs GPUs and AI computing solutions

About 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 the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

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.

Differentiation

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.

Upsides

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.

Land your dream remote job 3x faster with AI

Try Jobo Free