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What you'll be doing:
Contributing to our technical strategy for visual AI developer software through insight into key developer challenges and innovative ways to mitigate those challenges with accelerated computing.
Invent and prototype new features, tools, workflows, and services that help AI developers advance the state of the art faster and more cost-effectively.
Drive new capabilities to production services that will run on hundreds or thousands of GPUs including profiling and optimizing code, building tests, deploying microservices, debugging quality gaps, fine tuning and optimize models, automating workflows, creating metrics and trackers.
Lead major projects including feature and architectural definition, project planning and estimation, execution, and mentorship for teammates.
Collaborate with our research teams to adapt their work and to influence research direction
Provide technical expertise in deep-learning based computer vision to teams across NVIDIA and support critical initiatives in this area
Demonstrate consistently high levels of creativity resulting in patents, product differentiation and advances in visual AI.
What we need to see:
MS or equivalent experience in Computer Science, Computer Engineering, or related field.
Outstanding technical breadth across areas such as generative AI, visual understanding, and 3d reconstruction
Proficiency with Python and C++. Basic familiarity with GPU programming, e.g. in CUDA.
10+ year track record of converting research ideas into production software, leading development activities including algorithm selection, implementation, data collection, and validation.
Innovation resulting in outstanding products, patents, and publications.
Ways to Stand Out from the Crowd:
Proficiency with common cloud software such as Helm Charts, Milvus, ELK, Docker, etc.
Strong software architecture skills
Experience building developer centric tools and services
You will also be eligible for equity and .
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