Solution Sales Engineer

MINDENERGY AI TECHNOLOGY PTE. LTD.; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative AI infrastructure provider is seeking a Solution Sales Engineer to lead the design and deployment of cutting-edge AI solutions for enterprise clients. In this role, you will collaborate with sales, product, and engineering teams to create customized AI infrastructure that meets client needs. Your expertise in GPU computing and AI/ML infrastructure will be crucial as you engage with clients to understand their requirements and translate them into effective technical solutions. This position offers a unique opportunity to work at the forefront of AI technology and contribute to the growth of an industry leader.

Qualifications

• Bachelor's degree in a technical field required.
• Experience in solution architecture or technical consulting preferred.

Responsibilities

• Design and deliver tailored AI infrastructure solutions for enterprise clients.
• Lead technical discussions and solution presentations with clients.

Skills

GPU Computing

AI/ML Infrastructure

Technical Consulting

Networking

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Electrical Engineering

Bachelor's degree in AI

Tools

PyTorch

TensorFlow

Liquid Cooling Systems

Job description

About Us

MindEnergy is a AI infrastructure provider, offering end-to-end solutions including GPU servers, AI platforms, and data center integration. Our technology supports enterprise AI, large-model training, and private LLMs.

About The Role

We are looking for a Solution Sales Engineer to join our team and lead the design, customization, and deployment of AI infrastructure solutions for enterprise clients.

Key Responsibilities

• Work closely with sales, product, and engineering teams to design and deliver tailored AI infrastructure solutions to customers

• Understand customer needs around large model training, inference deployment, and private AI deployments, and translate them into technical architectures using products (GPU servers, NCP platform, AI appliances, etc.)

• Lead technical discussions, solution presentations, workshops, and proof-of-concepts (POCs) with enterprise clients

• Develop detailed solution proposals, technical documentation, and architecture diagrams

• Provide pre-sales and post-sales technical support, including system sizing, integration planning, and deployment guidance

• Act as a trusted technical advisor to enterprise customers, ensuring solution feasibility, scalability, and alignment with customer goals

• Stay updated on AI trends, GPU technology, cloud and on-prem AI architectures, and share insights with internal teams

• Collaborate with the product team to feedback real-world customer needs and influence product roadmap and features

Requirements

• Bachelor's degree or above in Computer Science, Electrical Engineering, AI, or a related technical field.

• Relavant experience in solution architecture, technical consulting, or infrastructure engineering, preferably in AI, HPC, or cloud environments.

• Strong technical knowledge of GPU computing, AI/ML infrastructure, server hardware, and networking.

• Familiarity with large model (LLM) training frameworks (e.g., PyTorch, TensorFlow) and AI model lifecycle management.

• Experience with liquid cooling systems, data center operations, or high-density hardware deployments is a strong plus.

• Excellent communication and presentation skills in both technical and non-technical contexts.