Job Location: Santa Clara, CA
Job Detail:
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Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
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Provide the best AI solutions using GPUs working directly with key customers
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Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
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Pursuing a MS or PhD University in an engineering or Computer Science related discipline (or equivalent experience)
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You’ll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
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Experience with parallel programming, ideally CUDA C/C++
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Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
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A background that includes low-level performance optimizations and computer architecture.
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Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.
The base salary range is 120,000 USD – 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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