We run the platform that serves foundational models to Cisco IT. Our Foundational Model Service (FMS) gives engineering teams across the company access to small, large language, and embedding models. We serve those models on Kubernetes clusters, with Nim, Vllm and other runtimes. Beyond serving, we benchmark, evaluate, monitor, and release new models as improvements and demand warrant. Our customers depend on the platform under a 99.9% uptime SLA, and we build and operate accordingly. As a Software Engineer on the FMS team, you'll keep that platform running and make it easier to run. You'll support model onboarding and releases, take your turn on call, help automate the validation that gates every deployment, and contribute to the monitoring that shows us and our customers how the service is behaving. You'll also apply Agentic solutions to our own operations to catch problems earlier and remediate them automatically. Your Impact: You'll develop software consistent with Cisco Design Thinking Principles, with simplification and user experience at its core, using secure coding practices, protecting user privacy, and following software development best practices. You'll partner with design, product management, and other engineering teams to build the right solution for our customers. You'll create technical design documentation for the team, contribute to the documentation end users rely on, and debug platform issues both in development and in production. This is a strong role for a systems or infrastructure engineer who has worked with LLMs, whether through academic coursework or by building and running them on the job, and who understands how inference serving works. We're looking for a self-starter who takes on unfamiliar work and grows into it. You'll work with engineers who have built these systems from the ground up. New runtimes and new models arrive frequently, so the platform is always evolving, and you'll develop a deep understanding of developing AI infrastructure, model runtimes, and delivering products at scale. On call is shared across the team.
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Job Type
Full-time
Career Level
Mid Level