Presales Engineer

7 days ago

Singapore DADACONSULTANTS PTE. LTD. Full time

Our client is a startup company which aims to be the global leader in AI infrastructure and services, delivering integrated solutions in server manufacturing, AI computing power, software development, and support. By fostering partnerships and driving innovation, we'll pioneer AI computing power system solutions.

We're looking for talented Presales Engineers to design, customize, and deploy AI infrastructure solutions for enterprise customers. As a key member of our team, you'll work closely with sales, product, and engineering teams to deliver tailored solutions that meet customer needs.

**Key Responsibilities**:

- Design and deliver AI infrastructure solutions for large model training, inference deployment, and private AI deployments
- Lead technical discussions, solution presentations, and proof-of-concepts with enterprise clients
- Develop detailed solution proposals, technical documentation, and architecture diagrams
- Provide pre-sales and post-sales technical support, including system sizing and deployment guidance
- Act as a trusted technical advisor to enterprise customers, ensuring solution feasibility and scalability
- Stay updated on AI trends and technologies, and share insights with internal teams
- Collaborate with product teams to feedback customer needs and influence product roadmap

**Requirements**:

- Bachelor's degree or above in Computer Science, Electrical Engineering, AI, or related field
- 1-3 years of experience in solution architecture, technical consulting, or infrastructure engineering in AI, HPC, or cloud environments
- Strong technical knowledge of GPU computing, AI/ML infrastructure, and server hardware
- Familiarity with large model 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 plus
- Excellent communication and presentation skills in both technical and non-technical contexts

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