Deep Learning Performance Architect
China, ShanghaiPosted Jun 1, 2026
Overview
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NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make a significant impact in a dynamic technology focused company
What you’ll be doing:
• Analyze performance of various deep learning algorithms on different architectures
• Identify architecture and software performance bottlenecks and propose optimizations
• Explore new features and hardware capabilities on deep learning applications
What we need to see:
• BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
• 5+ years of working experience in relevant directions will be a plus
• Be familiar with GPU or accelerator-based deep learning platform and software stack
• A strong background in computer architecture
• Experience on system architecture design and performance optimization
• Familiar with machine learning and deep learning frameworks
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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