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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 .
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