Description
We are seeking a Solutions Architect to help customers and partners in South East Asia leverage NVIDIA technologies to build, deploy, and scale speech AI solutions. This highly technical role requires deep expertise in AI models and software engineering practices.
As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more.
Responsibilities:
- 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.
Requirements:
- 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.
Nice to Have:
- Hands-on experience with NVIDIA AI technologies such as NeMo Speech, Riva, NIM, Nemotron, and Parakeet.
- Experience supporting multilingual speech deployments and language-specific model adaptation.
- Strong expertise in voice AI, including ASR, TTS, speech-to-speech, and conversational AI.
- Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience.
- Experience working with enterprise partners to productionize voice AI applications in domains such as contact centers, digital humans, assistants, or industry-specific voice workflows.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. You can learn more about what we offer at www.nvidiabenefits.com/