NVIDIA · 7 hours ago
Senior Applied Deep Learning Research Scientist, Efficiency
US, CA, Santa Clara
Full-time
Onsite
Senior Level
$192K/yr - $305K/yr
5+ years expNVIDIA is a leading technology company focused on AI and deep learning innovations. They are seeking a Senior Applied Deep Learning Research Scientist to join their Efficiency team, which aims to optimize deep learning models for performance and energy consumption. The role involves researching low-bit number representations, innovating algorithms, and collaborating across teams to enhance NVIDIA's AI platform.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Research of low-bit number representations and pruning and their effect on neural network inference and training accuracy. This includes requirements by the existing state of art neural networks, as well as co-design of future neural network architectures and optimizers
Innovate with new algorithms to make deep learning more efficient while retaining accuracy, and open-source or publish these algorithms for the world to use
Run large-scale deep learning experiments to prove out ideas and analyze the effects of efficiency improvements
Collaborate across the company with teams making the hardware, software and deep learning architectures
Qualification
Required
PhD degree in AI, computer science, computer engineering, math or a related field or equivalent experience in some of the areas listed below can substitute for an advanced degree
5+ years of relevant industrial research experience
Familiarity with state-of-art neural network architectures, optimizers and LLM training
Experience with modern DL training frameworks and/or inference engines
Fluency in Python, and solid coding/software-engineering practices
A proven track-record in publications and/or the ability to run large-scale experiments
A strong interest in neural network efficiency
Preferred
Experience in quantization, pruning, numerics and efficient architectures
A background in computer architecture
Experience with GPU computing, kernels, CUDA programming and/or performance analysis
Benefits
Equity
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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