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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in high-performance computing and cluster management, with a strong focus on developing engineering communities and improving operational workflows. Proven ability to lead teams, mentor engineers, and translate complex concepts into effective training and documentation.
Highest-signal resume keywords
High-Performance ComputingCluster ManagementTechnical LeadershipGPU Workload SchedulingLinux Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cluster ManagementGPU Workload SchedulingLinux ClustersNetworkingLarge-Scale Shared StorageEngineering Request CoordinationOperational WorkflowsDocumentation DevelopmentHPC/AI Cluster DesignRequest Prioritization
Soft Skills
CollaborationCommunicationMentoringJudgmentDecision-Making
Tools & Technologies
Cluster Management PlatformsWorkload SchedulersPetabyte-Scale Filesystems
Industry Keywords
AI InfrastructureDatacenter SystemsProduction EngineeringEngineering CommunitiesTechnical Workshops
Tech Stack
Tools & technologiesLinux
About the role
Key responsibilities & impact- Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests
- Develop an internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing
- Create training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, operational procedures, and actionable support requests
- Own request intake and prioritization, including clarifying needs, capturing impact and priorities, identifying dependencies, and maintaining a transparent queue
- Coordinate specialist investigations and deep-debug support, connect requesters with technical owners, track progress, and address stalled requests
- Partner with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs
- Convert recurring questions, request patterns, and specialist findings into reusable guidance, training, self-service tools, and workflow improvements
- Use request volume, response time, aging, completion trends, training participation, and user feedback to improve support quality and communicate priorities and capacity needs
Requirements
What you’ll need- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent practical experience
- 8+ years of experience in high-performance computing, AI infrastructure, datacenter systems, production engineering, or large-scale Linux environments
- 5+ years of technical leadership or engineering management experience, including mentoring engineers, setting priorities, and delivering across organizational boundaries
- Practical understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage
- Experience coordinating engineering requests, support queues, or operational workflows, including prioritization, ownership, managing blocking issues, and communication through completion
- Ability to translate complex infrastructure concepts into clear documentation, training, and guidance
- Strong collaboration and communication skills, with sound judgment when balancing user needs, engineering priorities, and resource constraints
- Experience designing or operating large HPC/AI clusters and supporting engineers during early hardware, firmware, or software lifecycle phases
- Experience with cluster management platforms and workload schedulers, GPU resource allocation, and large or petabyte-scale filesystems
- Experience forming engineering communities, induction programs, technical workshops, or peer learning activities
- Experience improving request workflows across compute, networking, storage, and software teams
- Proven experience developing inclusive teams that foster ownership, knowledge transfer, thoughtful decision-making, and career growth
Benefits
Comp & perks- Equity
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