Upscale AI
Principal Solutions Engineer
$239K–$266K
US - Santa Clara, CA · On-site · Principal · Full-time · Posted Sep 22, 2026
- Experience
- Minimum of 10 years of pre-sales experience; candidates with a Field Application Engineering background and strong customer-facing experience are encouraged to apply.
- Education
- Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related engineering discipline, or equivalent industry experience.
About the job
Leads technical sales for AI infrastructure, designing and presenting customer solutions from ASIC and system level through rack-scale deployments.
What you'll do
- Manage strategic customer accounts and lead complex, full-cycle solution sales, discovery, and technical evaluations.
- Design and demonstrate solutions, including proof-of-concept validations, and provide technical input for proposals.
- Coordinate with sales, product, and engineering teams to address customer needs and inform product roadmaps.
What they ask for
- At least 10 years of pre-sales experience in AI infrastructure, semiconductors, or networking; customer-facing FAE experience is also encouraged.
- Track record supporting or selling complex network infrastructure and semiconductor/ASIC solutions to hyperscalers, enterprises, or cloud providers.
- Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related engineering discipline, or equivalent industry experience.
- Hands-on expertise in scale-up networking and interconnect, scale-out networking, ASIC architecture, and the GPU/NIC ecosystem.
Nice to have
- Familiarity with emerging scale-up standards including ESUN, UALink (UAL), and SUE.
- Working knowledge of network operating systems such as SONiC, Arista EOS, Juniper Junos, or Cisco IOS.
Pay
USD 239,000–266,000 per year base salary
Tools
ASIC, SONiC, Arista EOS, Juniper Junos, Cisco IOS, ESUN, UALink (UAL), SUE
AI focus
Supports AI infrastructure and AI-cluster solution sales, including GPU, NIC, xPU, and switch tray platforms, and AI network architecture.
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