Senior HPC & Cloud Solutions Architect for AI/ML

NorthMark Strategies LLC; Dallas (TX); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Company-Paid Lunch Stipend

Employer-Paid Medical, Dental & Vision

16 weeks Paid Parental Leave

Life insurance

Short-Term Disability

Long-Term Disability

401(k) company match 100% up to 6%

Paid Time Off 25 days

12 company holidays

Job summary

NorthMark Compute & Cloud (NMC2) in Dallas seeks a Solutions Architect to serve strategic HPC and cloud clients, helping design, deploy, and scale compute-intensive workloads including large-scale AI/ML training and simulations. You will bridge engineering, sales, and product, shaping roadmaps by customer feedback.

You will leverage Terraform, Ansible, Kubernetes, and Python to optimize performance, with strong emphasis on GPU/HPC stacks and clear technical communication for diverse audiences.

Qualifications

• 5+ years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer.
• Proficiency with Infrastructure as Code tools Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU/HPC computing, ML training/inference workloads.
• Customer-focused with ability to explain complex concepts clearly.

Responsibilities

• Serve as the primary technical point of contact for key customers, troubleshooting HPC and cloud challenges.
• Guide customers in optimizing compute performance for ML training, inference, and simulations.
• Partner with the sales team to identify growth opportunities and deliver technical demos.
• Bridge customers and product teams, relaying feedback and feature requests.
• Create technical docs, reference architectures, and best practices for the NMC2 ecosystem.

Skills

Terraform

Ansible

Kubernetes

Python

CUDA/OpenCL

MPI

ML frameworks

Tools

PyTorch

TensorFlow

Kubeflow

Slurm

Job description

NorthMark Compute & Cloud (NMC2) in Dallas seeks a Solutions Architect to serve strategic HPC and cloud clients, helping design, deploy, and scale compute-intensive workloads including large-scale AI/ML training and simulations. You will bridge engineering, sales, and product, shaping roadmaps by customer feedback.

You will leverage Terraform, Ansible, Kubernetes, and Python to optimize performance, with strong emphasis on GPU/HPC stacks and clear technical communication for diverse audiences.