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AI Networking Architect
Не указаноПолная занятостьSoftware ArchitectureSemiconductors
Join a multidisciplinary research group analyzing AI workloads and infrastructure needs to help shape future networking and AI computing platforms.
Обязанности
- Model complex AI workload performance, identify bottlenecks, and recommend system-level optimizations.
- Analyze AI models, distributed training methods, and inference workloads to determine infrastructure requirements.
- Build platforms, simulations, hardware platforms, and analytical tools; execute AI workloads and evaluate compute, memory, storage, and network trade-offs.
- Translate research insights and workload behavior into software, hardware, and networking architecture requirements.
- Collaborate with architecture, software, and product teams to influence networking and AI infrastructure roadmaps.
- Apply workload analysis to advanced machine learning frameworks and drive architectural innovation.
Требования
- Bachelor’s or master’s degree in computer science, computer engineering, or electrical engineering, or equivalent experience.
- At least 3 years of relevant industry or research experience.
- Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.
- Ability to reason about end-to-end requirements across the AI stack.
- Ability to translate research findings and product requirements into software and hardware specifications.
- Research skills, including reviewing academic papers, learning new domains, and independently testing hypotheses.
- Advanced programming skills for performance modeling, data analysis, and prototyping.
- Strong communication skills for presenting complex technical findings.
Будет плюсом
- Experience with distributed training, distributed inference, or large-scale AI serving systems.
- Experience with agentic programming and AI tools.
- Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.