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What you'll be doing:
In this role, you will help shape the strategy for inference deployment workflows and lead the ONNX development efforts at NVIDIA.
Help define and drive ONNX inference workflows and development objectives
Collaborate closely with industry partners in advancing ONNX
Coordinate planning and execution of inference strategy in concert with various internal teams at NVIDIA
Grow and develop a team of world-class engineers
What we need to see:
Masters (or equivalent experience) or PhD and at last 12 overall years of relevant industry experience in Computer Science, Artificial Intelligence, Applied Math, or related field
5+ years of demonstrated experience in leading and mentoring multiple software engineering teams
Strong experience with C++11/C++14
Working knowledge or experience with TensorRT, PyTorch, TensorFlow, JAX, ONNX Runtime or other ML frameworks.
Excellent understanding of software development practices including architecting, development, testing, continuous integration, and documentation
Excellent communication skills, strong analytical, and organization skills
Ways to Stand Out From the Crowd:
Significant contributions to Deep Learning optimizations for inference.
Strong Python programming experience
Familiarity with CUDA kernel programming
Experience working directly with AI hardware and software development teams.
Exceptional project management skills, with a demonstrated ability to lead complex projects to completion.
A charismatic leader who inspires innovation and drives the team towards achieving NVIDIA's vision.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology—and amazing people.
You will also be eligible for equity and .
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