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 computer vision, vision AI, video AI, or world foundation models.
Hands-on experience in building and scaling production VLM and multi-modal AI systems.
Strong Python skills and experience with PyTorch.
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 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 NVIDIA Metropolis + NVIDIA DeepStream SDK for live video pipelines, NVIDIA NIM for VLMs for serving, and Nemotron + Cosmos models.
Experience supporting model adaptation using NVIDIA TAO Toolkit + NVIDIA NeMo frameworks.
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 https://www.nvidiabenefits.com/
