H

HP Inc.

Makes computers and printers for work and home

Presales Solution Engineer - Edge AI

Pre-Sales Solution EngineeringPosted on Nov 3
Full-time

About the Job

Requirements

  • At least 3 years of experience in technical presales, forward deployment engineering, solution engineering or architecture, AI infrastructure, advanced compute, or a related discipline, with strong experience in one or more of these areas.
  • Experience designing and deploying AI, Edge AI, computer vision, advanced compute, or accelerated computing solutions.
  • Hands-on knowledge of modern AI infrastructure, including GPUs, CPUs, NPUs, accelerators, containers, networking, storage, and hybrid-cloud technologies.
  • Experience taking technical solutions from proof of concept or pilot into production environments.
  • Ability to troubleshoot complex hardware, software, networking, application, and integration challenges.
  • Strong understanding of enterprise architecture, security, scalability, manageability, and production operational requirements.
  • Ability to translate business requirements into technical architectures and technical capabilities into business outcomes.
  • Strong customer-facing presentation, communication, and technical storytelling skills.
  • Ability to collaborate across sales, engineering, product management, services, partners, and customer organizations.

Responsibilities

  • Partner with customers, account teams, Enterprise Architects, and business stakeholders to understand business challenges, technical requirements, workloads, infrastructure, data environments, and desired outcomes.
  • Translate customer requirements into actionable Edge AI and Advanced Compute architectures and implementation strategies.
  • Identify opportunities where AI inference, computer vision, intelligent edge workloads, advanced compute, and related technologies can improve customer operations or create new business capabilities.
  • Connect near-term opportunities with the customer's broader technology and AI strategy.
  • Design end-to-end Edge AI solutions incorporating appropriate edge computing platforms and advanced compute; CPUs, GPUs, NPUs, and AI accelerators; AI inference and model deployment; computer vision and intelligent edge workloads; data ingestion and processing; containers and orchestration; edge management and observability; networking, security, and device management; cloud and hybrid-cloud integration; and ISV and ecosystem technologies.
  • Develop solution architectures that account for performance, scalability, manageability, security, reliability, cost, and operational requirements.
  • Own the technical execution of customer proof of concepts, pilots, and solution validations.
  • Define clear proof-of-concept objectives, technical success criteria, business outcomes, architecture, timelines, responsibilities, and exit criteria before execution begins.
  • Configure, integrate, test, troubleshoot, and optimize Edge AI solutions in customer and lab environments.
  • Ensure proof of concepts demonstrate more than technical feasibility by connecting technical results to measurable customer outcomes.
  • Serve as the technical owner for moving successful proof of concepts into production deployments.
  • Develop productionization plans covering architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scaling requirements.
  • Identify technical and organizational barriers that could prevent a successful proof of concept from reaching production and proactively develop mitigation plans.
  • Partner with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams to transition from presales validation into implementation.
  • Maintain technical continuity throughout discovery, architecture, validation, proof of concept, production, and scale.
  • Serve as a subject matter expert within HP's Edge AI and Advanced Compute Practice.
  • Maintain knowledge of emerging Edge AI technologies, architectures, AI models, inference frameworks, accelerators, compute platforms, and industry use cases.
  • Build reusable architectures, technical patterns, reference designs, demonstrations, proof-of-concept frameworks, and deployment methodologies that accelerate future customer engagements.
  • Capture lessons learned from customer engagements and feed insights back into HP product, engineering, services, and practice development teams.
  • Partner with sales and technical account teams to identify, qualify, and advance Edge AI opportunities.
  • Provide technical leadership during customer workshops, architecture sessions, executive briefings, demonstrations, RFP responses, and solution presentations.
  • Develop solution bills of materials, architecture documentation, technical proposals, deployment assumptions, and supporting technical content.
  • Demonstrate how HP's Edge AI and Advanced Compute capabilities can solve customer problems and deliver measurable outcomes.

Desired Qualifications

  • Experience with AI inference and Edge AI frameworks.
  • Experience with NVIDIA and other accelerated-compute ecosystems.
  • Knowledge of computer vision, video analytics, generative AI, and AI inference workloads.
  • Experience with Kubernetes, containers, Linux, APIs, and modern application architectures.
  • Experience working with ISVs and technology ecosystem partners.
  • Experience supporting enterprise customers across retail, manufacturing, industrial, healthcare, public sector, or other Edge AI-intensive industries.
  • Experience developing production reference architectures and repeatable solution patterns.

About the Company

HP Inc.

Makes computers and printers for work and home

HP designs personal computers, printers and related supplies for households, businesses and public institutions, with products for everyday work and professional computing. Its Z workstations support demanding technical tasks, while its commercial printing systems serve offices, print shops and industrial manufacturers. It sells devices and replacement supplies directly and through partners, and earns service revenue from software, support and managed computer and printer fleets. Founded as a partnership in 1939, the company is headquartered in Palo Alto, California, and retained the PC and printing businesses after separating Hewlett Packard Enterprise in 2015.

Company size
10,001+
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
1939

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