3 дня назад
Chip Simulation and Tooling Role (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Chip Simulation and Tooling Role (AI) (Custom Hardware Simulation and Developer Tools): Co-designing, developing, and testing simulations of custom inference hardware and the tools engineers use to analyze these systems with an accent on chip simulation, low-level software, and hardware/software co-design. Focus on building simulation infrastructure, interpreting hardware behavior, and collaborating across software and hardware development.
Location: On-site at the office in San Jose, CA, United States
Salary: Paid 12-week internship
Company
builds custom chips, racks, software, and manufacturing systems for frontier AI inference infrastructure.
What you will do
- Co-design, develop, and test simulations of custom hardware.
- Build tooling that engineers use to analyze hardware systems.
- Work on inference-focused hardware and software at the infrastructure layer.
- Coordinate closely with software and hardware teams throughout development.
- Contribute across engineering and research disciplines as needed.
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.
- Strong fundamentals in data structures and algorithms.
- Strong understanding of low-level software engineering and hardware/software co-design.
- Excellent communication and collaboration skills.
- Availability for a Fall 2026, Spring 2027, or Summer 2027 internship.
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 for interns relocating to San Jose.
- Daily lunch and dinner at the office.
- Direct mentorship from experienced engineers and industry leaders.
- Fully in-person collaboration in San Jose.
- Opportunity to work across engineering and research on frontier AI infrastructure.
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