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Sales Technical Engineer

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Sulekha.com New Media Pvt Ltd
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Systems Engineer, Sales Engineer, Hardware Engineer
  • Engineering
    Systems Engineer, Sales Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Grab this Job Opportunity and move up in your career!

We are seeking a knowledgeable and customer-focused Sales Engineer specializing in AI Server Hardware to join our growing team. In this role, you will work closely with sales, engineering, and customers to deliver high-performance infrastructure solutions designed for AI, machine learning, and high-performance computing workloads.

Key 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)
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 (NVIDIA/AMD), high-performance computing, and data center hardware
  • Familiarity with AI/ML workloads, server architecture, networking, and storage systems
  • Excellent communication and presentation skills
  • Ability to translate complex technical concepts into business value for customers
Preferred Skills
  • Experience with NVIDIA GPU platforms, CUDA ecosystems, or AI infrastructure
  • Understanding of cloud, hybrid infrastructure, and GPU clusters
  • Experience supporting enterprise or data center customers
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