Solution Architect (AI Datacenter )
Keysight Technologies · Santa Clara, CA | Calabasas, CA · Marketing
About this role
Keysight Technologies is hiring a mid-level Solutions Architect in the software engineering function based in Santa Clara, CA | Calabasas, CA. The posting calls out experience with Python, Docker, Ansible, LLMs.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA | Calabasas, CA
- Department
- Marketing
- Posted
- Mar 25, 2026
More roles at Keysight Technologies
Job description
from Keysight Technologies careersKeysight 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).