Senior Manager, AI and HPC Cluster Engineering Enablement

Ladders; United States; Remote; USD 272,000 - 489,000; Full time

Benefits offered by this job

Equity opportunities

Comprehensive health benefits

Flexible work arrangements

Professional development programs

Access to cutting-edge technology and資

Job summary

Ladders is seeking a Senior Manager, AI and HPC Cluster Engineering Enablement to lead a team focused on enabling internal users through strong processes, training, and guidance. This remote role reports to engineering leadership and collaborates across teams to improve workflows for large-scale infrastructure environments.

The role emphasizes onboarding, knowledge sharing, and transparent resource coordination, shaping how engineers access and operate AI and HPC resources at scale.

Qualifications

• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent experience.
• 8+ years in high-performance computing, AI infrastructure, or large-scale Linux environments.
• 5+ years in technical leadership or engineering management, mentoring and cross-organizational delivery.
• Practical understanding of Linux clusters, GPU workload scheduling, and large-scale shared storage.
• Experience coordinating engineering requests and managing operational workflows.

Responsibilities

• Lead and grow a team focused on cluster engineering support and community engagement.
• Develop an internal engineering community through onboarding, workshops, and knowledge sharing.
• Create training and documentation for cluster access and operational procedures.
• Own the request intake and prioritization process, ensuring clarity and transparency.
• Coordinate specialist investigations for complex requests and track progress.
• Partner with engineering teams on resource needs and maintenance communications.
• Transform recurring issues into reusable guidance and proposals for workflow improvements.

Skills

HPC infrastructure

Leadership

Linux clusters

GPU scheduling

Large-scale storage

Technical coordination

Education

BS/MS/PhD in CS/CE/EE

Job description

For our client, we are seeking a Senior Manager, AI and HPC Cluster Engineering Enablement to join the team of a leader in the Telecommunications & Hardware space.

This role will lead a team supporting AI and high-performance computing cluster engineering operations, with a focus on enabling internal users through strong processes, communication, and technical guidance. You will shape the onboarding, training, and knowledge-sharing experience for engineering stakeholders while helping ensure cluster resources are used effectively and transparently. The position also partners closely with engineering teams to manage operational requests, coordinate investigations, and improve workflows that support large-scale infrastructure environments.

Location: Remote

Compensation: $272,000 – $488,750 annually

Responsibilities

• Lead and grow a team focused on cluster engineering support and community engagement.
• Develop an internal engineering community through onboarding, workshops, and knowledge sharing.
• Create training and documentation for cluster access and operational procedures.
• Own the request intake and prioritization process, ensuring clarity and transparency.
• Coordinate specialist investigations for complex requests and track progress.
• Partner with engineering teams on resource needs and maintenance communications.
• Transform recurring issues into reusable guidance and proposals for workflow improvements.

Qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent experience.
• 8+ years in high-performance computing, AI infrastructure, or large-scale Linux environments.
• 5+ years in technical leadership or engineering management, including mentoring and cross-organizational delivery.
• Practical understanding of Linux clusters, GPU workload scheduling, and large-scale shared storage.
• Experience in coordinating engineering requests and managing operational workflows.

Benefits

• Equity opportunities.
• Comprehensive health benefits.
• Flexible work arrangements.
• Professional development programs.
• Access to cutting-edge technology and resources.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.