Customer Engineer
Core
Trusted technical advisor supporting key AI/ML customers in designing, deploying, and scaling GPU cloud solutions.
Role type
Senior Customer Engineer (AI/ML Infrastructure)
Builds
Full-stack AI cloud platform for GPU workloads
Domain
Cloud Infrastructure / AI/ML / GPU Computing
Deliverable
production ML models
Required skills
Cloud services, AI/ML workloads, Infrastructure as Code (Terraform, Ansible), Kubernetes, Python, GPU computing (CUDA, OpenCL), ML training, inference workloads
Preferred skills
HPC/ML orchestration (Slurm, Kubeflow), deep learning frameworks (PyTorch, TensorFlow), ML tools (NVIDIA, AWS, Azure, GCP), project management, stakeholder negotiation
Technologies
Terraform, Ansible, Kubernetes, Python, CUDA, OpenCL, Slurm, Kubeflow, PyTorch, TensorFlow
Responsibilities
Troubleshoot complex AI/ML issues, optimize GPU performance for ML workloads, partner with sales for technical presentations, bridge between customers and product teams, negotiate solutions with stakeholders
Seniority
Senior, hands-on IC
