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Solutions Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Keysight Technologies SAles Spain SL.
Full Time position
Listed on 2026-09-11
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 215180 - 358630 USD Yearly USD 215180.00 358630.00 YEAR
Job Description & How to Apply Below

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

Role Overview

The Solution Engineer is integral to the Sales organization, dedicated to designing and delivering sophisticated technical solutions across Keysight's Network and Application/Security (NAS) test portfolio. This role demands deep expertise in test systems and networking protocols, along with strong leadership in supporting complex technologies, including the core demands of AI/ML data center networking. The successful candidate will thrive in a dynamic, high‑velocity environment and bring strong adaptability and a collaborative, team‑first approach.

A background equivalent to a U.S. Bachelor's degree in Computer Science or Engineering is essential. The role requires proficiency in both pre‑sales and post‑sales, with a solid understanding of networking and routing protocols such as ISIS, OSPF, and MP‑BGP, as well as EVPN/Segment Routing, and knowledge of data encapsulations including MPLS, VxLAN, MACSec, and RoCEv
2.

As AI and machine learning workloads reshape modern data center architectures, deep expertise in AI/ML back‑end network fabrics, including RoCEv2/RDMA performance, lossless Ethernet behavior (PFC, ECN, DCQCN), and congestion management for large‑scale GPU cluster environments, is required. Familiarity with private and public cloud capabilities, including Linux, KVM, containers, Kubernetes, AWS, GCP, and Azure, is highly advantageous. Advanced Python automation skills are essential for process optimization and for driving innovation in solution development and deployment.

Responsibilities
  • Serving as the lead technical authority and crafting advanced technical solutions for Keysight's product such as IxNetwork and service portfolio, including AI data center test solutions.
  • Leading design and consultation sessions with prospective clients, showcasing expertise in protocols and driving the solution discussion.
  • Taking end‑to‑end ownership of complex problems and partnering across teams to support broader business objectives and customer needs.
  • Adapting to shifting business priorities and workload demands while maintaining a solution‑oriented, execution‑focused mindset.
  • Delivering sales presentations, product installations, and maintenance, ensuring seamless product integration into customer systems.
  • Integrating Keysight products and services at the system level into the customer's environment and ensuring interoperability.
  • Leading customer validation of AI/ML back‑end network fabrics, including RoCEv2/RDMA performance, lossless Ethernet behavior (PFC, ECN, DCQCN), and congestion control for large‑scale GPU cluster training and inference workloads, and advising customers on fabric design trade‑offs.
  • Tailoring solutions to meet customer needs, capitalizing on knowledge of networking, routing, and AI data center fabric protocols.
  • Developing product demonstrations and customer training materials.
  • Leveraging Python automation for enhanced efficiency and rapid prototyping, with a solid understanding of the overall QA automation framework.
  • Staying informed of industry…
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