Solutions Architect, Speech AI.

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/