Senior AI Platforms Leader | Enterprise-Scale AI & Labs

Trace3

Grand Rapids (MI)

On-site

USD 150,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Comprehensive medical, dental and vision plans
401(k) Retirement Plan with Employer Match
Competitive Compensation
Training and development programs
Work-life balance and generous paid time off

Job summary

Trace3 is looking for a Senior Director of AI Platforms based in Grand Rapids, Michigan. This role is accountable for building and operating the AI Platforms practice within the Infrastructure & Operations Business Unit. The ideal candidate will have extensive experience in GPU compute and AI infrastructure design, coupled with the ability to lead a technical presales team effectively.

You will engage with client executives and lead the strategy for AI infrastructure. The position includes mentoring team members and collaborating with other departments to enhance customer solutions.

Qualifications

  • 12+ years in enterprise infrastructure, at least 5+ years in AI/ML/HPC.
  • Experience in GPU-dense factory deployments.
  • 5+ years of leadership experience.

Responsibilities

  • Build and lead presales solutions architecture team.
  • Architect large-scale AI infrastructure.
  • Own operation of Trace3's AI Labs.

Skills

Leadership
GPU computing
AI infrastructure design
Technical presales
High-performance computing
Executive communication

Education

Bachelor's degree in Computer Science, Electrical Engineering or related field
Advanced degree preferred

Tools

Kubernetes
Slurm
NVIDIA DGX or HGX
Docker

Job description

Trace3 is looking for a Senior Director of AI Platforms based in Grand Rapids, Michigan. This role is accountable for building and operating the AI Platforms practice within the Infrastructure & Operations Business Unit. The ideal candidate will have extensive experience in GPU compute and AI infrastructure design, coupled with the ability to lead a technical presales team effectively.

You will engage with client executives and lead the strategy for AI infrastructure. The position includes mentoring team members and collaborating with other departments to enhance customer solutions.

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