Job Overview:

Our client, a leader in high-performance computing for AI enterprises, is seeking a skilled Sales Engineer to join their innovative team. This role will play a key part in supporting the sales efforts for their cutting-edge, decentralized GPU-as-a-service (GPUaaS) platform.

​

Role Summary:

As a Sales Engineer, you will act as a critical link between advanced technology and business needs. Working closely with the Enterprise AI Sales team, you’ll help identify customer challenges, demonstrate the technical advantages of the client’s GPUaaS platform, and support the sales cycle to drive successful AI solution deployments.

​

Responsibilities:

• Collaborate with Enterprise AI Sales representatives to identify and qualify leads with significant AI workloads
• Deepen client understanding of the GPUaaS solution through technical presentations, demos, and proof-of-concept (POC) development
• Translate customer requirements into technical specifications for GPU configurations and compute resources on the platform
• Partner with the sales team to develop compelling proposals that demonstrate the cost-effectiveness and scalability of the client’s solutions compared to traditional approaches
• Work with pre-sales engineers to configure and implement POC environments, showcasing the performance and efficiency of the platform
• Provide ongoing technical support to the sales team throughout the sales cycle, addressing customer inquiries and concerns
• Stay up-to-date on the latest advancements in AI, GPU technology, and evolving platform features

​

Requirements:

• Minimum 3+ years of experience in a technical sales role, preferably within the AI or high-performance computing (HPC) space
• Strong understanding of GPU architectures, their capabilities, and their role in accelerating AI workloads, specifically GPUs like A100s and H100s
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus
• Excellent communication and presentation skills with the ability to explain complex technical concepts to a non-technical audience
• Ability to work effectively in a collaborative environment and build strong relationships with both internal and external stakeholders
• Proficient in technical documentation and adept at creating clear and concise proposals; speaking Mandarin is a big bonus
• Experience working with AI enterprises and understanding their specific needs
• Knowledge of containerization technologies like Docker or Kubernetes
• Experience developing or managing POC environments for AI projects, specifically deploying GPU clusters