Distinguished Technologist, Presales Engineering

Hewlett Packard Enterprise

1d•Remote

About The Position

Distinguished Technologist, Presales Engineering This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: We are seeking a Distinguished Technologist, Presales Engineering for the HPE Networking organization. Systems engineering is about building the future. We are redefining what’s next and combining our legacy of innovation with a bold new goal to accelerate everything we do. Our sales organization is comprised of 10,000+ professionals in presales, service, and support functions. Together with our partners, we deliver global, commercial, public sector & small/medium business customers. We’re transforming businesses. Join us to redefine what’s next for you.

Requirements

AI/ML Networking Expertise: Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns.
Edge & Distributed Compute Knowledge: Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport.
Advanced Network Design: 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures.
Modern Protocol Fluency: Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation.
Systems Thinking: Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic "AI Fabric" vision.
Thought Leadership: Significant experience providing both solution and commercial leadership, specifically in translating the "Cost of AI" into a value-based networking ROI for C-level stakeholders.
Executive Presence: Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations.
Sales Mastery: Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response.
Resource Management: Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources.
10+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains.
Expert-level and hands-on knowledge in multiple of the following: Designing large-scale IP/MPLS based Access/Metro/Edge and Core networks (MPLS Traffic Engineering).
Designing large-scale Datacenter IP Fabrics, EVPN/VXLAN Fabrics, and DCI solutions optimized for AI/ML.
SDN environments including Overlay protocols (MP-BGP, EVPN) and tunneling (VXLAN, MPLS, SR/SRv6).
Knowledge of Merchant Silicon: Understanding of Trident, Tomahawk, and Jericho technologies and their competitive positioning in AI fabrics.
Virtualization & Compute: Experience with virtualization on x86 and scaling via DPDK, SR-IOV, and SmartNICs.
Open Networking: Experience with white box hardware and related software (SONiC, Cumulus, etc.).
Advanced degree in technology or related field preferred, or equivalent technical qualifications.
This position may involve up to 50% travel, including international travel on short notice.
Accountability, Critical Thinking, Design Thinking, Financial Acumen, Growth Mindset, and the ability to manage ambiguity in a results-oriented industry.
Accountability
Active Learning
Active Listening
Assertiveness
Bias
Building Rapport
Buyer Personas
Coaching
Complex Sales
Creativity
Critical Thinking
Cross-Functional Teamwork
Customer Experience Strategy
Customer Interactions
Design Thinking
Empathy
Financial Acumen
Follow-Through
Growth Mindset
Identifying Sales Opportunities
Industry Knowledge
Intellectual Curiosity (Inactive)
Long Term Planning
Managing Ambiguity

Nice To Haves

Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred)
JNCIE or equivalent industry-standard certifications are highly desired.
Exposure and familiarity with APIs, Postman, JSON, and Python is desired.

Responsibilities

Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads.
Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput.
Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter.
End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters.
Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met.
Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments.
Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers.
Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management.
Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases.
Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team.
Solution Economics: Responsible for the sizing, design, configuration, and pricing of technical solutions, using sizing and industry best practices.

Benefits

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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