TL;DR
Member Of Technical Staff (AI Networking): Design and scale advanced high-performance networks powering AI supercomputers and training clusters with an accent on ultra-low-latency ROCE networks, congestion control, and fabric-wide systems. Focus on designing, benchmarking, tuning, and scaling distributed Ethernet and InfiniBand fabrics connecting hundreds of thousands of GPUs at hyperscale.
Location: Onsite in Redmond, United States
Salary: $139,900–$274,800 per year (varies by location)
Company
hirify.global is a division focused on advancing artificial intelligence technologies, including frontier AI models and superintelligence systems.
What you will do
- Design advanced ROCE transport, congestion control, and tuning mechanisms.
- Plan fabric architecture, topology, network modeling, and scaling strategies.
- Develop telemetry, observability, reliability engineering, and automated troubleshooting tools.
- Deploy novel routing techniques to ensure reliability in large-scale networks.
- Collaborate with industry-leading network designers and internal silicon/network teams.
- Benchmark AI training and inference clusters and perform root-cause analysis.
Requirements
- Location: Must work onsite in Redmond, United States
- Bachelor’s degree in Computer Science or related field with 6+ years of technical engineering experience or equivalent.
- Proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python.
- Preferred: Master’s degree with 8+ years or Bachelor’s with 12+ years of experience.
- English: Proficient (B2) required
Culture & Benefits
- Work in a startup-like team within hirify.global focused on responsible and efficient AI development.
- Collaborate in a culture of respect, integrity, accountability, and inclusion.
- Opportunity to work on cutting-edge AI networking infrastructure impacting global AI models.
- Onsite work expectation with local law considerations for proximity to office.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →