Software Engineer, AI Engineer (Applied​/Software), DevOps

Job Req  Supermicro:

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community.

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary:

We are looking for a passionate, motivated Software Engineer to join our dynamic and fast-paced team building switch agent and network management software for large-scale AI and data center fabrics. In this role, you will design, develop, and test software that runs on network switches, along with the automation that provisions, monitors, and troubleshoots them. Upcoming work reaches deeper into switch silicon and telemetry, and into making the resulting data and logs directly consumable by AI agents.

The ideal candidate has a strong foundation in systems or networking software and a passion for learning. In this role, you will work closely with team leaders, project managers, and senior engineers to innovate, design, and test, adapting to evolving priorities and technical challenges. This position provides hands-on exposure to production AI clusters built on Supermicro switches and NVIDIA/AMD GPU servers.

Essential Duties and Responsibilities:

Contribute to the design, development, and maintenance of on-switch agent software and the management and diagnostic services it integrates with.

Build automated software solutions for provisioning, monitoring, configuration, and troubleshooting across data center and AI cluster platforms.

Work with team leaders and project managers to innovate, design, implement, and test new capabilities from concept through release.

Develop and run diagnostic and performance workloads, such as link quality, packet drop and capture, routing neighbor checks, and system health, and analyze the results.

Troubleshoot software, automation, and integration issues and develop permanent solutions to improve reliability and maintainability.

Contribute to performance, reliability, and debuggability improvements across AI clusters, including telemetry and metrics pipelines.

Implement collection and processing of ASIC and platform telemetry, including hardware counters, buffer and queue statistics, and drop and error reporting, along with the pipelines that deliver it.

Help structure, label, and enrich collected metrics and logs so they can be consumed by AI agents and automated diagnostic workflows.

Maintain technical documentation, APIs, and operational procedures for developed software solutions.

Continuously evaluate new technologies and AI-assisted approaches to improve software development efficiency, diagnostics, and operational workflows.

Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (Master's degree preferred).2-4+ years of experience in software engineering.

Strong programming skills:
Go and/or Python; shell scripting;
Ansible.

Working knowledge of L2/L3 networking protocols and management protocols; exposure to SONiC or comparable network operating systems is a plus.

Experience with network telemetry and monitoring, such as streaming telemetry (gNMI/Open Config), sFlow, IPFIX, SNMP, or metrics pipelines such as Prometheus.

Exposure to switch ASICs, ideally Broadcom (BCM), and the abstraction or SDK layers above them such as SAI, syncd, or vendor SDKs, is a strong plus.

Interest or experience in preparing structured, labeled data…