NVIDIA is a world-leader in high speed computer vision, artificial intelligence, and deep learning. Our team builds the accelerated software ecosystem that enables visual AI developers to innovate swiftly and efficiently at scale. Are you looking for a technical leadership role building high-performance distributed AI? We are seeking an outstanding individual to help us build highly optimized microservice products and NVIDIA NIMs that bring visual AI to large scale data. The right candidate will combine insight into the latest computer vision and multi-modal AI techniques with exceptional technical breadth in distributed computing to build performant solutions and overarching architecture for problem domains such as video data curation, search, and neural reconstruction.

What you'll be doing:

• Scope and build tools, microservices, workflows, and distributed applications that use groundbreaking computer vision models to help developers build better products faster and cheaper.

• Contribute to specifications guiding computer vision microservice development across NVIDIA.

• Design and implement product features for streaming, resilience, logging, security, authentication, workflow orchestration, data management, and more.

• Develop and optimize commercializable models starting from our latest research.

• Analyze and optimize complex distributed applications to achieve speed-of-light performance using acceleration from CV-CUDA, RiverMax, SwiftStack, CuVI, RAPIDS, and more!

What we need to see:

• Master's of Science in Computer Science, Electrical engineering, or Physics or equivalent experience

• 8+ years of practical experience.

• Excellent architectural sense and can-do approach to building high-performance software at scale. Up to date on key technologies such as Kubernetes, Helm, HIVE, Parquet, Milvus, ELK.

• Background in AI development including proficiency with Python and one or more common deep learning frameworks such as PyTorch, OnnxRT, or JAX. Computer vision experience preferred.

• Teamwork, listening, and teaching skills to work effectively with system software and AI experts to build end-to-end accelerated products with unique and sophisticated capabilities.

• Ability and desire to learn new technologies

Ways to Stand Out from the Crowd:

• System software experience including multi-threaded and CUDA development

• Prior experience with a broad range of computer vision challenges such as real-time streaming, augmented reality, or data curation

• Exposure to latest advances such as Gaussian Splatting, World Models, and Vision Language Models.

• Innovative results including patents, publications, or exciting product features

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.