NVIDIA
AI
DeepLearningPerformanceArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Deep Learning Performance Architect at NVIDIA. Skills: Deep learning performance architect, DL performance modelling, Analysis, Optimization, Kernel development, Performance tuning on GPUs, Deep learning SW frameworks, AI models, Hardware frameworks for deep learning applications. Analyze brand-new DL networks (LLM etc. ). Identify and prototype performance opportunities”
Industry & Context.
Identify and prototype performance opportunities; Analyze performance, power consumption, and accuracy
What They're Looking For.
Must Have
BS, MS, or PhD in a relevant field (CS, EE, Math, etc.) or equivalent experience, 5+ years’ work experience, Excellent C/C++ programming and software build skills, Experience in kernel development and performance tuning on GPUs (or other accelerators), Familiarity with typical deep learning SW frameworks (e. g. , Torch/JAX/TensorFlow/TensorRT), Familiarity with popular AI models (e. g. , LLM and AIGC models), Familiarity and background with hardware frameworks for deep learning applications
Nice to Have
Experience in the performance optimization of DL workloads, Experience with MLIR and AI compiler development
What You'll Do.
Analyze brand-new DL networks (LLM etc. )
Identify and prototype performance opportunities
Influence SW and Architecture team for NVIDIA's current and next-gen inference products
Develop prototypes of the fastest kernels on present and future NVIDIA GPUs
Define hardware and software setups along with measurements to evaluate performance
and accuracy in current and upcoming chips
How You'll Work.
Team & Collaboration
Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is developing processor and system architectures that accelerate AI workloads based on neural networks. We are looking for an experienced deep learning performance architect to join our inference architecture team. In this position, you will have a chance to work on DL performance modelling, analysis, and optimization on brand-new hardware architectures for various DL workloads. You will make your contributions to our dynamic technology-focused company. **What you will be doing:** * Analyze brand-new DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next-gen inference products. * Develop prototypes of the fastest kernels on present and future NVIDIA GPUs. * Define hardware and software setups along with measurements to evaluate performance, power consumption, and accuracy in current and upcoming chips. * Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams. **What we need to see:** * BS, MS, or PhD in a relevant field (CS, EE, Math, etc.) or equivalent experience. * 5+ years’ work experience. * Excellent C/C++ programming and software build skills. * Experience in kernel development and performance tuni
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