Speech AI Solutions Architect - Multilingual & Real-Time

NVIDIA

Singapore

Sur place

SGD 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

NVIDIA Singapore seeks a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale speech AI solutions. This is a highly technical role requiring deep expertise in AI models and software engineering practices.

You will translate customer requirements into deployable architectures, deliver workshops and technical reviews, and enable partners across cloud, data center, and edge environments, focusing on latency, scale, and

Qualifications

BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience.
5+ years of proven experience in building and deploying speech, multimodal AI, or LLM systems.
Strong Python skills and experience with PyTorch.
Hands-on experience with ASR, TTS, speech understanding, speech translation, audio-language models, or multimodal LLMs
Experience in the production trade-offs around latency, quality, and scale.
Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling.
Ability to build and explain end-to-end speech AI pipelines, including model selection, customization, deployment, observability, and integration into customer applications.
Strong communication skills and the ability to work effectively across customers, partners, product management, and engineering.

Responsabilités

Work alongside customers, GSIs, ISVs, and internal account teams to develop voice AI solutions addressing real-time transcription, multilingual speech recognition, speech synthesis, speech translation, and conversational AI scenarios.
Support solution development and technical validation around NVIDIA speech AI models, including multilingual configurations, code-switching support, and streaming speech recognition workflows.
Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input.
Assist the deployment of NVIDIA Riva, Nemotron, and speech NIM microservices across cloud, data center, and edge environments, including production considerations for streaming, scaling, and performance.
Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA speech AI technologies.