Solutions Architect, Speech AI

About the Role

We are seeking a knowledgeable Solutions Architect to partner with customers and collaborators across South East Asia in adopting NVIDIA's cutting-edge technologies to develop, deploy, and scale advanced speech AI solutions. This position demands extensive expertise in artificial intelligence models and software development best practices. The ideal candidate should be driven, innovative, and highly skilled to capitalize on the opportunities within this vibrant region.

Key Responsibilities

• Collaborate closely with customers, global system integrators (GSIs), independent software vendors (ISVs), and internal account teams to design voice AI solutions that address challenges such as real-time transcription, multilingual speech recognition, speech synthesis, speech translation, and conversational AI.
• Provide technical support and validation for NVIDIA speech AI models, focusing on multilingual configurations, code-switching capabilities, and streaming speech recognition workflows.
• Coordinate with field teams, product managers, and engineering to transform customer needs into practical deployable architectures, contribute feedback for technical improvements, and inform product roadmaps.
• Assist in deploying NVIDIA's Riva, Nemotron, and speech NIM microservices across diverse environments including cloud, data centers, and edge setups, ensuring considerations for performance, streaming, scaling, and production readiness.
• Conduct demonstrations, workshops, technical reviews, and partner enablement sessions to drive adoption of NVIDIA's speech AI technologies.

Requirements

• Bachelor's, Master's, or PhD degree in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, Machine Learning, or a related discipline, or equivalent professional experience.
• Minimum of five years' proven track record in designing and deploying speech, multimodal AI, or large language models (LLM) systems.
• Proficiency in Python programming and familiarity with PyTorch framework.
• Practical experience working with automatic speech recognition (ASR), text-to-speech (TTS), speech understanding, speech translation, audio-language models, or multimodal LLMs.
• Understanding of production trade-offs involving latency, quality, and scalability.
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, Helm, or similar tools.
• Capability to architect and articulate complete speech AI pipelines encompassing model choice, customization, deployment, monitoring, and integration into client applications.
• Excellent communication skills with ability to collaborate across customers, partners, product teams, and engineering groups effectively.

Preferred Qualifications

• Hands-on experience using NVIDIA AI platforms including NeMo Speech, Riva, NIM, Nemotron, and Parakeet.
• Proven experience facilitating multilingual speech deployments and adapting language-specific models.
• Deep expertise in voice AI technologies covering ASR, TTS, speech-to-speech, and conversational AI.
• Experience in benchmarking AI agents for metrics like quality, latency, reliability, safety, and user experience.
• Background working with enterprise partners to launch voice AI applications for domains such as contact centers, digital humans, personal assistants, or specialized voice workflows in industry settings.

Additional Information

This role is located onsite in Singapore. NVIDIA is known for offering highly competitive salaries alongside a comprehensive benefits package to support employees and their families.