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Systems Engineer; Solution Engineer, NAS

Job in Long Beach, Los Angeles County, California, 90801, USA
Listing for: Keysight Technologies
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 178000 - 296000 USD Yearly USD 178000.00 296000.00 YEAR
Job Description & How to Apply Below
Position: Systems Engineer (Solution Engineer, NAS)

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 Solution Engineer is a core contributor within the Sales organization, responsible for designing and delivering advanced technical solutions across Keysight's Network and Application/Security (NAS) test portfolio. This role requires strong hands-on knowledge of test systems and networking protocols, along with the ability to support complex technologies, including the emerging demands of AI/ML data center networking. The successful candidate will thrive in a dynamic, fast-paced 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 covers 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, familiarity with 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 highly valued. Familiarity with private and public cloud capabilities, including Linux, KVM, containers, Kubernetes, AWS, GCP, and Azure, is a strong advantage. Python automation skills are important for process optimization and for driving innovation in solution development and deployment.

Responsibilities
  • Providing specialized technical guidance and building advanced technical solutions across Keysight's product such as IxNetwork and service portfolio, including AI data center test solutions.
  • Supporting design and consultation sessions with prospective clients, demonstrating protocol expertise and helping drive the solution discussion.
  • Taking ownership of complex technical problems and partnering across teams to support customer needs and broader business objectives.
  • Adapting to shifting business priorities and workload demands while maintaining a solution-oriented, execution-focused mindset.
  • Delivering sales presentations, product installations, and maintenance, ensuring smooth product integration into customer systems.
  • Integrating Keysight products and services at the system level into the customer's environment and ensuring interoperability.
  • Supporting customers in validating 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.
  • Tailoring solutions to customer needs by applying knowledge of networking, routing, and AI data center fabric protocols.
  • Developing product demonstrations and customer training materials.
  • Leveraging Python automation for improved efficiency and rapid prototyping, with a solid understanding of the overall QA automation framework.
  • Staying current on industry trends, competitive products, and the latest developments in networking protocols, AI/ML fabric technologies, and automation techniques, including customers' test automation frameworks.
  • Collaborating with the Engineering and Product Management teams to help refine product features.
  • Supporting the sales process for complex or advanced systems and applications by building proof-of-concept tests that demonstrate solution capabilities.
Qualifications

Must-Have (Required)

  • A background equivalent to a U.S. Bachelor's degree in Computer Science or Engineering.
  • 5+ years in customer-facing engineering roles, with pre-sales experience preferred.
  • Strong proficiency with IEEE 802.3 Ethernet and TCP/IP internetworking.
  • Working experience (production or lab) with modern data center and backbone architectures and protocols: CLOS,…
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