47 минут назад
Infrastructure Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Intern (AI): Developing infrastructure tooling for hybrid-cloud HPC clusters, massively parallel CI, infrastructure-as-code, and observability platforms with an accent on low-level software, hardware/software co-design, and AI inference performance. Focus on building reliable tools for ASIC, software, and platform engineers, integrating LLM capabilities into observability, and improving iteration speed across high-performance computing systems.
Location: On-site at the office in San Jose, CA
Company
develops hardware, software, racks, and manufacturing systems for frontier AI inference infrastructure.
What you will do
- Develop and support infrastructure tooling for ASIC, software, and platform engineers.
- Work with hybrid-cloud high-performance computing clusters.
- Build and maintain massively parallel CI execution systems and infrastructure-as-code.
- Develop a scalable observability platform with LLM integration.
- Create reliable, high-quality tools that improve engineering iteration speed and productivity.
Requirements
- Progress toward a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field.
- Proficiency in C, C++, or Rust.
- Proficiency in Python for systems software work.
- Strong fundamentals in data structures and algorithms.
- Strong understanding of low-level software engineering and hardware/software co-design.
- Excellent communication and collaboration skills.
Nice to have
- Experience with Linux internals, kernel development, or driver debugging.
- Experience with hardware diagnostics or interpreting hardware logs.
- Exposure to server virtualization or CI/CD pipelines.
- Experience with Rust or embedded development.
Culture & Benefits
- 12-week paid internship.
- Housing support is available for interns relocating to San Jose.
- Daily lunch and dinner are provided at the office.
- Direct mentorship from experienced engineers and industry leaders.
- Fully in-person engineering and research environment with cross-disciplinary collaboration.
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