Solution Architect (AI Datacenter )

Keysight Technologies, Inc. • Santa Clara, CA

11h

About The Position

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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.
Keysight is seeking a customer-facing Solution Architect to support hyperscalers, NEMs, and chipset vendors in designing and validating next-generation AI data center networks. This role combines deep AI networking expertise with strong customer engagement and close collaboration with Product Management to influence next-generation test and measurement solutions.

Requirements

• Bachelor’s or master’s degree in computer science, Network Communications, Computer Data Sciences, or a related field.
• Strong experience in AI data center or hyperscale networking environments.
• Deep knowledge of AI networking technologies including RDMA, RoCEv2, SRv6, congestion control, and packet optimization techniques.
• Experience with collective communication benchmarking and distributed AI workload validation.
• Familiarity with Large Language Models (LLMs) and AI training/inference workloads.
• Hands-on experience with network traffic generators and validation/test tools.
• Experience in network automation (Python, APIs, Ansible, CI/CD).
• Excellent customer-facing communication and presentation skills.
• Self-driven, curious, and motivated to continuously learn emerging AI technologies.

Nice To Haves

• Experience with SONiC-based switching environments.
• Understanding of MCP (Model Context Protocol) or related AI infrastructure frameworks.

Responsibilities

• Act as a trusted technical advisor to hyperscalers, NEMs, and silicon vendors on AI data center and rack-level validation strategies.
• Architect and deliver end-to-end validation solutions using advanced traffic generation and network test platforms, including proof-of-concepts and performance benchmarking.
• Design validation methodologies for AI fabrics leveraging RDMA/RoCEv2, SRv6, packet trimming, congestion management, and high-speed Ethernet (400G/800G/1.6T).
• Develop and validate collective communication benchmarking use cases (e.g., all-reduce, all-to-all) to measure real-world AI training performance across scale-out fabrics.
• Build and integrate network automation frameworks into customer lab and CI/CD environments.
• Partner closely with Product Management and R&D to translate field requirements and AI infrastructure trends into roadmap priorities.

Benefits

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees