OverviewKeysight 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.
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.
Qualifications- 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).
- Ability to deploy containers, read Python code, execute test cases, and analyze test results.
- Excellent customer-facing communication and presentation skills.
- Self-driven, curious, and motivated to continuously learn emerging AI technologies.
Preferred Qualifications- Experience with SONiC-based switching environments.
- Understanding of MCP (Model Context Protocol) or related AI infrastructure frameworks.
Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Pay is based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed below.California pay range: MIN $193,840 - MAX $323,070
Note: For other locations, pay ranges will vary by region
This role is eligible for Keysight Results Bonus Program
US Employees may be eligible for the following 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)
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