Member Of Technical Staff, Hardware Health (AI)

TL;DR

Member of Technical Staff, Hardware Health (AI): Ensuring sustained reliability, performance, and availability of advanced AI training infrastructures featuring multi-gigawatt clusters and high-performance networks with an accent on developing predictive health models, failure detection, and autonomous remediation systems. Focus on designing advanced ROCE transport, fabric architecture, network modeling, and AI cluster bring-up.

Location: Hybrid in Zürich, Switzerland (expected to work from office 4 days/week if living within 25 miles).

Company

hirify.global operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters and ultra-low-latency networks.

What you will do

• Design and tune ROCE transport, congestion control, and network fabrics.
• Develop telemetry, observability, reliability engineering, and automated troubleshooting systems.
• Deploy novel routing techniques to achieve network reliability in large networks.
• Collaborate with world-class network designers like NVIDIA and Broadcom, and in-house silicon/network co-design teams.
• Conduct AI training/inference cluster bring-up, performance benchmarking, and root-cause analysis.
• Gather data and insights to develop the pretraining compute roadmap.

Requirements

• Bachelor’s Degree in Computer Science or a related technical field.
• 6+ years of technical engineering experience.
• Proficiency in coding with languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Expected to work from a designated Microsoft office at least four days a week if living within 25 miles of Zürich.

Culture & Benefits

• Part of hirify.global’s Superintelligence Team, a startup-like team pushing AI boundaries toward Humanist Superintelligence.
• Mission to empower every person and organization, innovate, and collaborate with values of respect, integrity, and accountability.
• Opportunity to partner with product teams giving models the chance to reach billions of users.
• Work in a fast-paced, design-driven, product development cycle.