Solutions Architect, Speech AI
NVIDIA · Singapore · 1mo ago
We are looking for 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 need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region.
A Solution Architect is 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.
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
Regarded as a top choice among technology companies, NVIDIA delivers highly competitive salaries and a well-rounded benefits package. As you consider your future, explore what we can provide for you and your family at www.nvidiabenefits.com/