Application Architect overseeing design processes and innovating solutions in payment services. Working closely with stakeholders to establish technology vision and architecture for financial clearing and settlement.
About the role
- Senior Deep Learning Performance Architect at NVIDIA enhancing AI Inference performance through innovative GPU architectures. Engage in hardware-software co-design and collaborate across teams for AI advancements.
Responsibilities
- Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
- Construct, investigate, and test popular deep learning algorithms and applications
- Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
- Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
- Collaborate across the company to guide the direction of AI, working with software, research, and product teams
Requirements
- A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
- Strong mathematical foundation in machine learning and deep learning
- Expert programming skills in C, C++, and/or Python
- Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack
- Strong knowledge and coursework in computer architecture
Benefits
- equity
- benefits
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