Solutions Architect, Speech AI

NVIDIA
Singapore
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Customer collaboration","Troubleshooting","Technical feedback","Project coordination"]

Design and enable speech AI solutions for customers and partners across South East Asia, from real-time transcription and multilingual recognition to speech synthesis, translation, and conversational AI. Validate NVIDIA speech AI models and collaborate with engineering to translate requirements into deployable architectures. Support deployment of NVIDIA Riva, Nemotron, and speech NIM across cloud, data center, and edge, delivering demos, workshops, and technical guidance.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Solutions Architect, Speech AI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Design and enable speech AI solutions for customers and partners across South East Asia, from real-time transcription and multilingual recognition to speech synthesis, translation, and conversational AI. Validate NVIDIA speech AI models and collaborate with engineering to translate requirements into deployable architectures. Support deployment of NVIDIA Riva, Nemotron, and speech NIM across cloud, data center, and edge, delivering demos, workshops, and technical guidance.
Location: Singapore
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop voice AI solutions with customers and partners for real-time transcription, multilingual recognition, speech synthesis, speech translation, and conversational AI.
  • •Support solution development and technical validation for NVIDIA speech AI models, including multilingual configurations and streaming workflows.
  • •Translate customer requirements into deployable architectures and provide technical feedback and roadmap input with field/product/engineering teams.
  • •Assist deployment of NVIDIA Riva, Nemotron, and speech NIM microservices across cloud, data center, and edge, including streaming production considerations.
  • •Deliver demos, workshops, technical reviews, and partner enablement sessions to accelerate adoption of NVIDIA speech AI technologies.

Key Requirements

  • •BS, MS, or PhD in Computer Science or related fields, or equivalent experience.
  • •5+ years building and deploying speech, multimodal AI, or LLM systems.
  • •Strong Python skills with PyTorch.
  • •Hands-on experience with ASR, TTS, speech translation, speech understanding, or multimodal LLMs.
  • •Familiarity with Docker, Kubernetes, and Helm, plus experience building end-to-end speech AI pipelines.
Experience:5+ yearsSpeech AIMultimodal AILLMEnterpriseCloudData centerEdge
Education:
Skills:CommunicationCustomer collaborationTroubleshootingTechnical feedbackProject coordination
Tech Stack:PythonPyTorchASRTTSSpeech recognitionSpeech synthesisSpeech translationMultilingual speechDockerKubernetesHelmNeMo SpeechRivaNIMNemotronParakeetStreaming speech recognition

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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