D

Dell Technologies

Makes PCs, AI servers and data storage systems

Software Principal Engineer

Test Automation EngineeringPosted on Nov 10
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience developing, testing, and automating validation of networking software for enterprise, cloud, and high-performance data center environments.
  • In-depth knowledge of data center and AI fabric networking, including routing protocols and technologies (BGP, OSPF, IS-IS, BGP EVPN, VxLAN, SRv6, and multicast), switching, ACLs, QoS, leaf-spine architectures, and AI/HPC Ethernet fabrics (RDMA/RoCEv2, PFC, ECN/DCQCN, adaptive routing, and dynamic load balancing) on 800GbE/1.6TbE platforms.
  • Experience developing test strategies, test plans, and validation matrices from protocol RFCs and feature specifications; designing test topologies; and executing functional, regression, scale, performance, and interoperability tests using tools such as Ixia IxNetwork, Spirent TestCenter, TRex, Scapy, PTF, sonic-mgmt, and Wireshark.
  • Hands-on experience with test automation frameworks (pytest, pyATS, SpyTest, and Robot Framework) and network automation (REST APIs, gNMI/OpenConfig, NETCONF/YANG, and Ansible), including integrating automated test suites into CI/CD pipelines such as Jenkins or GitHub Actions and using Git for version control.
  • Strong debugging skills using packet captures, system logs, and switch telemetry, and the ability to work with development and customer engineering teams to reproduce and isolate issues.

Responsibilities

  • Own end-to-end test strategy and validation for complex networking features, including requirements analysis, test plans, test case design, automation, execution, and release qualification of production-quality Dell Enterprise SONiC software.
  • Design and build test topologies to validate large-scale data center networks and AI fabric capabilities on Dell PowerSwitch 800GbE/1.6TbE DLC platforms, covering RoCEv2, PFC/ECN-based congestion management, adaptive routing, MRC, SRv6, and dynamic load balancing for large-scale GPU clusters.
  • Troubleshoot complex system, scalability, performance, and customer issues across the control plane, data plane, SAI, and switch ASIC layers.
  • Use Dell-provided AI tools for test script development, test case generation, log analysis, debugging, and documentation, and drive AI-enabled engineering and automation practices across the team.
  • Collaborate with global hardware, silicon, quality engineering, product management, solutions, and customer-facing teams to deliver reliable, high-quality releases through continuous integration and delivery.

Desired Qualifications

  • A bachelor's or master's degree in computer science, computer engineering, or a related discipline.
  • Experience with open-source networking projects, AI/ML tools, or the broader AI infrastructure ecosystem.
  • Familiarity with Dell AI Factory solutions, PowerEdge AI servers, DLC Platform, and Kubernetes- or Slurm-based AI/HPC clusters.

About the Company

Dell Technologies

Makes PCs, AI servers and data storage systems

Dell Technologies makes laptops, desktops, servers, data storage and networking equipment for businesses, governments, schools and consumers, and it builds many of the server racks inside large AI data centers. In 2016 it completed its $67 billion purchase of storage maker EMC, then the largest technology deal ever. One division sells PCs, monitors and Alienware gaming computers, while the other sells PowerEdge servers, storage arrays and networking gear to companies running their own data centers. Dell earns money from those hardware sales plus support, financing and subscription services. Michael Dell founded the company in 1984 from his University of Texas dorm room, and it is based in Round Rock, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Round Rock, TX
Founded
1984

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