Overview:
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities:
The Senior Solution Engineer provides pre-sales technical expertise for Keysight's Network Infrastructure Testing solution. The role focuses on challenging and helping customers validate performance, scalability, resiliency, and interoperability of modern network and AI infrastructures.
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Provide pre-sales support for Data Center Networking, Routing & Switching, AI Fabric, Cloud Networking, and Network Securitytest and measurement solutions.
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Design and deliver customer demonstrations, Proofs of Concept (PoCs), evaluations, and workshops with measurable successcriteria.
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Develop customer-specific validation methodologies, and benchmarking strategies.
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Translate customer challenges into structured test scenarios, performance KPIs, and technical testing solution architectures.
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Support RFP/RFQ processes including technical solution definition, architecture recommendations, and Bill of Material (BoM)creation.
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Work closely with Sales, Product Management, Marketing, and Engineering teams to develop and execute account strategies.
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Deliver technical presentations, workshops, and conference sessions on emerging networking, cloud, AI infrastructure, and securitytechnologies.
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Provide competitive positioning and technical differentiation of Keysight solutions.
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Support automation and lab modernization initiatives through APIs, scripting, CI/CD integration, and test orchestration frameworks.
Serve as a technology leader and trusted advisor, helping customers navigate emerging trends in AI, Data Center networking, automation,and cloud interconnections
Qualifications:
- Bachelor's Degree or equivalent in Computer Engineering, Electrical Engineering, Computer Science, Telecommunications, or related field.
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5+ years of customer-facing PreSales, Solution Engineering, Consulting, or Technical Sales experience.
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Must be recognized as technically competent in multiple networking technologies including:
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Ethernet switching and routing
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TCP/IP networking
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Data Center network architectures (Spine-Leaf, Clos, EVPN-VXLAN)
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Network protocols and control planes
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Cloud and virtualized infrastructures (incl. Microservices / Containers)
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High-speed networking (100G/400G/800G and beyond)
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Solid understanding of modern AI Data Center architectures and AI Fabric technologies, including:
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RoCEv2 (RDMA over Converged Ethernet)
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AI cluster networking concepts
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Congestion management and load balancing
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Scale-Up, Scale-Out and Scale-Across architectures
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Ethernet-based AI interconnect fabrics
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AI infrastructure validation and benchmarking concepts
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Experience with Data Center infrastructure technologies including:
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Switching and routing platforms
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Network operating systems
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SmartNICs, DPUs and accelerated networking
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Optical networking and interconnect technologies
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Cloud and hybrid cloud connectivity
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Expertise in troubleshooting complex Layer 2/3, transport, and Data Center networking issues.
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Experience with network testing, validation, benchmarking, or performance characterization tools.
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Strong understanding of test methodologies, performance metrics, latency analysis, throughput validation, congestion testing, resiliencytesting, and interoperability verification.
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Excellent presentation and communication skills with the ability to deliver technical workshops, demonstrations, executive briefings, andconference presentations.
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Proven capability to translate complex architectures into business value and customer outcomes.
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Strong customer engagement skills with the ability to build trusted advisor relationships.
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Collaborative and cross-functional working style, partnering effectively with Sales, Product Management, Marketing, Development, andServices organizations.
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Excellent written and verbal communication skills.
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Strong consultative selling mindset and understanding of enterprise sales processes.
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Self-motivated, highly organized, and capable of managing multiple opportunities simultaneously.
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Team-oriented with strong listening and interpersonal skills.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
