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/
