Inside Solution Engineer - Edge AI and Advanced Compute Practice

HP • Fort Collins, CO

21h

About The Position

The Inside Solution Engineer provides remote technical support to HP field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements in the Edge AI and Advanced Compute practice. The role serves as a technical liaison between field teams and the Global Business Unit (GBU), connecting customer requirements and field findings with product management, engineering, and support teams.

The engineer performs hands-on lab validation and troubleshooting, coordinates escalations, and maintains technical continuity from issue intake through verified resolution. The role also turns field experience into reusable guidance and actionable product feedback to improve field productivity and solution readiness.

Requirements

• 3–5 years of experience in solution engineering, technical presales, technical support, systems engineering, AI infrastructure, or a related discipline.
• Hands-on experience configuring, testing, and troubleshooting enterprise compute solutions across hardware, firmware, operating systems, networking, and software integration.
• Working knowledge of Edge AI or accelerated computing, including CPUs, GPUs, NPUs, AI inference workloads, containers, and related infrastructure.
• Ability to reproduce technical issues, analyze logs and diagnostic data, isolate likely causes, and validate corrective actions.
• Experience coordinating technical escalations with engineering, product management, or support organizations and following issues through closure.
• Clear written and verbal communication, strong technical documentation skills, and the ability to explain complex findings to field teams and cross-functional partners.
• Ability to prioritize multiple requests, work independently, and collaborate effectively with geographically distributed teams.

Nice To Haves

• Experience with HP compute platforms, enterprise support processes, and GBU or product engineering collaboration.
• Experience with Linux, Windows, Kubernetes, APIs, scripting, and automated testing or diagnostics.
• Familiarity with NVIDIA and other accelerated computing ecosystems, AI inference frameworks, computer vision, or generative AI workloads.
• Experience supporting ISV integrations, customer POCs, production deployments, and repeatable solution validation.

Responsibilities

• Provide remote technical assistance on solution design, product capabilities, configurations, compatibility, and deployment considerations for Edge AI and Advanced Compute engagements.
• Support demonstrations, proofs of concept, pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
• Develop technical responses, configuration guidance, bills of materials, and supporting documentation with field Solution Engineers.
• Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
• Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
• Develop and validate workarounds with appropriate teams, document findings, and confirm fixes with the field before closing issues.
• Maintain clear issue records, owners, next steps, and status updates so field teams can communicate accurately with customers.
• Serve as the field technical liaison to GBU product management, engineering, and support teams for product questions, defects, compatibility gaps, and solution limitations.
• Prepare actionable escalation packages that include business impact, technical evidence, reproduction steps, completed troubleshooting, and the support needed.
• Track escalations through resolution, coordinate follow-up and fix validation, and communicate confirmed support guidance and timelines to field Solution Engineers.
• Maintain representative lab configurations and test new platforms, firmware, drivers, software releases, and ISV integrations against field use cases.
• Create and maintain troubleshooting guides, known-issue summaries, validated configurations, reference architectures, and reusable demo and POC assets.
• Share technical updates and lessons learned with the field through training, office hours, and knowledge-sharing sessions.
• Identify recurring field issues and provide structured feedback to the GBU to improve product quality, documentation, serviceability, and solution readiness.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long-term and short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• 4–12 weeks of fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed