✦ Luna Orbit — Data & Analytics

Data Engineering Intern, Speech Data Processing - 2026

at Nvidia

📍 2 Locations Unknown Posted March 13, 2026
Type Full-Time
Experience entry
Exp. Years Entry-level / Student
Education Current enrollment in a Bachelor's, Master's, or PhD program in Computer Science, Engineering, or related field
Category Data & Analytics

This internship role involves improving speech data processing tools using NVIDIA's NeMo framework, focusing on normalization, alignment, and large-scale dataset handling for AI applications.

  • Improve speech normalization and alignment tools
  • Work with large speech datasets
  • Implement and validate speech processing techniques
  • Collaborate with multidisciplinary teams
  • Support deployment of speech AI technologies

The technical scope includes Python programming, deep learning frameworks like PyTorch and TensorFlow, and speech recognition/NLP techniques, supporting NVIDIA's AI research.

The ideal candidate is an enthusiastic student or early-career researcher enrolled in a CS or engineering program, with strong programming skills in Python and familiarity with speech and NLP frameworks. They should be curious, collaborative, and eager to contribute to cutting-edge speech AI projects.

PythonML frameworksNLPSpeech recognitionNeMo toolkit
Experience with speech and language processingData engineering for speech applicationsAudio signal processing
NVIDIA NeMoPyTorchTensorFlow
PythonPyTorchTensorFlowNLPSpeech recognitionSpeech data normalizationAudio-text alignmentNVIDIA NeMo toolkit
PythonPyTorchTensorFlowNLPSpeech recognitionSpeech data normalizationAudio-text alignmentNVIDIA NeMo toolkit
CollaborationProblem-solvingCuriosityAttention to detail
Industry Technology / AI & Machine Learning
Job Function Contributing to speech data processing and AI tool development for NVIDIA
Speech Data Processing InternNeMo frameworkPythonPyTorchTensorFlowNLPSpeech recognitionAudio-text alignmentSpeech data normalizationData engineeringAIDeep learningNeMo toolkitData processing

Lack of programming experience in Python, No familiarity with ML frameworks like PyTorch or TensorFlow, Not enrolled in a relevant academic program, Limited problem-solving skills or curiosity

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