AI Server Solutions Engineer

Sulekha.com New Media Pvt Ltd; Fremont, Northern (CA, KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Sulekha.com New Media Pvt Ltd in Fremont seeks a Sales Engineer specializing in AI server hardware to join our growing team. You will work with customers, sales, and engineering to deliver high-performance infrastructure for AI, ML, and HPC workloads.

Responsibilities include technical presentations, proofs-of-concept deployments, and designing GPU-accelerated solutions. The ideal candidate translates complex tech into business value and communicates effectively with diverse stakeholders.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• 2–5 years of experience in technical sales, solutions engineering, or hardware infrastructure.
• Strong knowledge of AI servers, GPUs, HPC, and data center hardware.

Responsibilities

• Provide technical expertise in AI server hardware solutions during the sales process.
• Work with customers to understand infrastructure requirements for AI/ML workloads.
• Design and recommend GPU servers, storage, and networking solutions.
• Deliver product presentations, demos, and technical consultations.
• Collaborate with sales teams to develop proposals and technical documentation.
• Support proof-of-concept deployments and system configurations.
• Stay up to date with emerging AI hardware technologies (GPUs, accelerators, HPC systems)

Skills

AI servers

GPUs

HPC systems

Networking

Storage systems

Communication

Presentations

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Computer Science

Tools

NVIDIA GPUs

AMD GPUs

Server hardware

CUDA ecosystems

Job description

Sulekha.com New Media Pvt Ltd in Fremont seeks a Sales Engineer specializing in AI server hardware to join our growing team. You will work with customers, sales, and engineering to deliver high-performance infrastructure for AI, ML, and HPC workloads.

Responsibilities include technical presentations, proofs-of-concept deployments, and designing GPU-accelerated solutions. The ideal candidate translates complex tech into business value and communicates effectively with diverse stakeholders.