Speech AI Solutions Architect for Multilingual ASR

NVIDIA AI; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

NVIDIA AI is seeking 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 that requires deep expertise in AI models and software engineering practices.

We look for passionate, hard-working, and creative individuals. You will work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap

Qualifications

• BS, MS, or PhD in CS, EE, CE, Physics, Mathematics, ML or related field, or equivalent experience.
• 5+ years building and deploying speech, multimodal AI, or LLM systems.
• Strong Python skills and PyTorch experience.
• Experience with ASR, TTS, speech understanding, speech translation, or multimodal LLMs.
• Familiarity with Docker, Kubernetes, Helm, or equivalent tooling.
• Ability to design end-to-end speech AI pipelines and deploy them.
• Strong communication across customers, partners, product, and engineering.

Responsibilities

• Collaborate with customers, GSIs, ISVs, and internal teams to develop voice AI solutions.
• Support solution development and technical validation around NVIDIA speech AI models.
• Translate customer requirements into deployable architectures and roadmaps.
• Assist deployment of NVIDIA Riva, Nemotron, and speech NIM services across cloud, data center, and edge.
• Deliver demos, workshops, and partner enablement sessions to accelerate adoption.

Skills

Python

Communication skills

AI models experience

Latency optimization

Education

BS/MS/PhD in CS/EE/CE/Physics/Math/ML

Tools

Docker

Kubernetes

Helm

Job description

NVIDIA AI is seeking 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 that requires deep expertise in AI models and software engineering practices.

We look for passionate, hard-working, and creative individuals. You will work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap