Senior Deep Learning Architect
Description For Senior Deep Learning Architect
NVIDIA, the world leader in accelerated computing, is seeking an experienced Senior Deep Learning Architect to shape the future of AI computing. This role offers a unique opportunity to impact NVIDIA's hardware roadmap in the rapidly evolving field of artificial intelligence. The position combines deep technical expertise in computer architecture with cutting-edge AI development, focusing on designing next-generation accelerator and system architectures for AI performance optimization.
The role involves working at the intersection of hardware and AI, requiring expertise in both computer architecture and deep learning. You'll be responsible for analyzing and optimizing AI training workloads, developing performance models, and guiding the evolution of NVIDIA's AI accelerators. This position offers the chance to collaborate across various teams, from hardware to software and research to production, making it ideal for someone who wants to influence the direction of machine learning at a company leading the AI revolution.
NVIDIA's legacy began in computer graphics, with their GPUs powering video games and Hollywood films. Today, they've evolved into "the AI computing company," with their technology driving deep learning algorithms and powering intelligent systems in robots, self-driving cars, and various AI applications. The company is known for its forward-thinking approach and is considered one of the technology world's most desirable employers.
The ideal candidate will bring a strong academic background (PhD or MS with equivalent experience), extensive experience in computer architecture, and deep understanding of AI and large language models. This role offers competitive compensation, including a substantial base salary range, equity, and comprehensive benefits. Join NVIDIA's DL Architecture team to help build the future of AI computing and be part of a company that's driving innovation in one of technology's most exciting and rapidly growing fields.
Responsibilities For Senior Deep Learning Architect
- Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms
- Guide development of future generations of artificial intelligence accelerators and systems
- Develop detailed performance models and simulator infrastructure for computing systems accelerating AI training
- Implement and evaluate hardware feature proposals
- Collaborate across the company to guide the direction of machine learning at NVIDIA
- Drive HW/SW co-design of NVIDIA's full deep learning platform stack
Requirements For Senior Deep Learning Architect
- PhD in CS, EE or CSEE and 5+ years; or MS (or equivalent experience) and 8+ years of relevant work experience
- Strong background in computer architecture, with proven track record of architecting features in shipping high-performance processors
- Background in artificial intelligence and large language models, particularly training algorithms and workloads
- Experience analyzing and tuning application performance on state-of-the-art hardware
- Experience with processor and system-level performance modelling, simulation, and evaluation
- Programming skills in C++ and Python
- Familiarity with GPU computing across all layers of the AI stack, from DL frameworks like PyTorch down to CUDA
Benefits For Senior Deep Learning Architect
- Equity
- Medical Insurance and other benefits (detailed benefits not specified in posting)
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