Tooling Engineer developing best practices for automotive flooring systems at Auria. Collaborating with engineering and procurement teams on tooling specifications and supplier management.
About the role
- Principal Systems At-Scale Engineer deploying strategies to improve large-scale data center clusters. Collaborating with visionary professionals to optimize systems in AI and GPU computing.
Responsibilities
- Deploy strategies to analyze and collect debugging and anomaly signals from large fleets of clusters to improve quality and experience.
- Build and expand debugging tools to identify, diagnose, and recover out-of-service systems, growing customer-available capacity.
- Author and deploy "fault signatures" and automated recovery rules.
- Lead cross-team task forces to address undefined failure modes in high-value AI/GPU systems, cutting backlogs through data-driven isolation.
- Leverage AI, analytics, and efficiency tools to scale debug efforts, turning manual triage into productized, automated code.
- Act as a technical leader and cultural anchor.
- Mentor junior and senior engineers.
- Encourage organizational health initiatives.
- Promote innovation through hackathons and sharing sessions.
Requirements
- 15+ years of experience in systems debugging at scale and debugging components of large fleets.
- BS/MS Computer Science or related field (or equivalent experience)
- Proven understanding of performance clusters, infrastructure, and workload patterns.
- Knowledge and experience with telemetry and at-scale analytics for large platforms.
- Experience using and installing fleets of Linux-based server platforms.
- C/Python/Bash/Lua programming/scripting experience.
- Experience working with engineering or academic research community supporting performance engineering or deep learning.
- Strong teamwork and both verbal and written communication skills.
Benefits
- equity
- benefits
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