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NVIDIA

Speech LLM Engineer, Voice-First AI

NVIDIA

Senior Speech LLM Engineer developing spoken language and multimodal AI systems for NVIDIA. Collaborating with teams to drive innovation in voice-first agentic AI solutions.

Posted 7/10/2026full-timeHo Chi Minh City • 🇻🇳 VietnamJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying speech and multimodal AI systems, with a strong focus on AI safety, security, and user experience. Proven ability to lead technical initiatives and mentor teams while fostering collaboration across diverse groups.

Highest-signal resume keywords
Speech AI DevelopmentMultimodal LLM SystemsPython ProgrammingMLOps InfrastructureTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Speech UnderstandingAudio-Language ModelsASRTTSMachine Learning PipelinesPyTorchTensorFlow
Soft Skills
Problem-SolvingCommunicationTeamwork
Certifications & Qualifications
Master's Degree in Computer ScienceMaster's Degree in AIMaster's Degree in Electrical Engineering
Industry Keywords
AI SafetyAI SecurityUser ExperienceBenchmarking FrameworksVoice Agents

Tech Stack

Tools & technologies
PythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Develop and advance speech, audio, and multimodal LLMs that power next-generation voice-first agentic AI experiences
  • Leverage AI-native and agentic workflows to accelerate research, development, evaluation, and deployment of AI systems
  • Design and deploy AI models and platforms with strong consideration for AI safety, security, privacy, and Sovereign AI requirements
  • Establish and drive benchmarking frameworks for voice agents, including speech quality, reasoning, tool use, latency, reliability, and user experience
  • Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, product, and customer teams

Requirements

What you’ll need
  • Master's degree in Computer Science, AI, Electrical Engineering, or related field (or equivalent experience)
  • 2+ years of experience building and deploying speech, multimodal AI, or LLM systems
  • Strong Python skills and experience with PyTorch or TensorFlow
  • Hands-on experience with ASR, TTS, speech understanding, audio-language models, or multimodal LLMs
  • Experience building production ML pipelines and MLOps infrastructure
  • Proven technical leadership and mentoring experience
  • Strong problem-solving, communication, and teamwork skills

Benefits

Comp & perks
  • highly competitive salaries
  • comprehensive benefits package