Systems Engineer (Solution Engineer, NAS)

Keysight Technologies, Inc.•Santa Clara, CA
•Onsite

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 ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. 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.

Requirements

  • 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, Leaf/Spine, VxLAN, EVPN, BGP, OSPF, MPLS, Segment Routing.
  • Solid Python automation/scripting experience with REST APIs.
  • Hands-on experience with traffic generation / network test equipment.
  • Strong collaboration and interpersonal skills, with openness to feedback, a team-first approach, and the ability to thrive in a fast-paced environment where priorities can shift.
  • Ability to travel up to 30% of work time.

Nice To Haves

  • Network certification such as CCNP, CCIE, or equivalent (e.g., Juniper JNCIP/JNCIE, Arista).
  • Working experience with Ixia test products.
  • Experience with virtualization stacks (KVM/Open vSwitch, VMware/NSX) and containerization (Docker, K8s).
  • Working knowledge of public clouds (AWS, GCP).
  • Strong plus: Working knowledge of AI/ML data center networking, including RoCEv2/RDMA, lossless Ethernet, and congestion control mechanisms (PFC/ECN/DCQCN); familiarity with GPU cluster fabrics, rail-optimized CLOS designs, and AI workload traffic patterns (e.g., collective communication such as NCCL).
  • Preferred: Exposure to AI network test/validation solutions such as Keysight KAI (Keysight AI) Data Center Builder, and awareness of Ultra Ethernet (UEC) and InfiniBand as fabric alternatives.

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.
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