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System Softwareis responsible forwell as the end-to-end DLA systemstack including user mode drivers, kernel mode drivers, and. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation.
be doing:
Design and maintain the Deep Learning Accelerator system software for next generation NVIDIA hardware
Develop advanced software for optimizing neural networks
Collaborate with members of hardware architecture teams
What we need to see:
Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
7+ years of experience developing and leading complex system software, firmware, and kernel drivers
Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
Experience designing, developing, and maintaining complex software stacks
Need to demonstrate strong C and C++ programming skills with experience working with large codebases
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
You will have strong teamwork, interpersonal, and problem solving skills
Ways to stand out from the crowd:
Designing and implementing drivers programming rich HW acceleration engines and software verification test plans.
You will also be eligible for equity and .
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