Sales Engineer GPUaaS and AI Infrastructure

You will translate AI training and inference workloads into infrastructure configurations and communicate their value to technical and business audiences. You will support account executives, validate bills of materials, produce cost-benefit and TCO analysis, lead technical proposal work, manage technical relationships, track infrastructure trends, and coordinate with engineering, deployment, and quality functions.

Responsibilities

• Map customer AI workloads to GPU, networking, and hardware configurations
• Articulate technical advantages and value propositions to technical and non-technical audiences
• Support Account Executives and strategic sales leadership during client engagements
• Review and validate Bills of Materials for accuracy and compatibility
• Identify, qualify, and secure new business with the sales organization
• Model and present cost-benefit, ROI, and TCO analyses
• Lead technical proposals, bids, and RFI/RFP responses
• Build relationships with customer engineering leads, technical brokers, and OEM partners
• Track AI hardware, thermal management, and liquid cooling trends
• Coordinate with data center engineering, deployment, and quality functions

Requirements

• 5–7 years of technical sales or pre-sales engineering experience in GPUaaS, AI hardware, cloud infrastructure, or data center markets
• Experience with major hardware OEMs is preferred
• Understanding of GPUs, storage architectures, InfiniBand, Ethernet, power density, and thermal management
• Experience reviewing, auditing, and pricing hardware Bills of Materials
• Active NVIDIA certifications are highly desirable
• Ability to present technical architectures to C-suite executives and engineering leaders
• Analytical and problem-solving skills
• U.S. citizenship and ability to obtain and maintain a security clearance if required
• Bachelor's degree in Engineering or a related technical field, or relevant industry experience