Startups · AI

Lead Machine Learning Engineer , AI Defense (Hybrid)

Cisco · Milpitas, California, US · On-site

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About Cisco

Cisco is a worldwide technology leader powering an inclusive future for all. Learn more about our products, services, solutions, and innovations. Backed by Sequoia and Menlo.

About the role

As a Technical Lead, you will serve as a hands-on technical authority for AI Defense, owning the systems that detect, validate and stop threats to AI. You will drive hard design and implementation challenges, from low-latency LLM inference at scale to secure deployments in customer environments. Your work will set the engineering standards for the team and directly shape how Cisco secures AI for its customers. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor's in Computer Science and 10+ years or Master's and 8+ years or PHD and 3+ years of software engineering experience, including architecting and delivering large-scale distributed systems
  • Experience with cloud-native backend development and modern cloud infrastructure
  • Prior experience with technical leadership across teams while remaining hands-on
More about this role

The application window is expected to close on: 11/22/2026

This is a Hybrid role based out of Cisco's San Jose office.

Cisco’s AI Defense is dedicated to securing the next generation of enterprise AI platforms, autonomous agents, and foundation models. Our team brings together world-class distributed systems engineers, security researchers, and AI practitioners in an agile, high-velocity, and collaborative environment. You will join as a technical leader shaping both the product architecture and team culture. This is a rare opportunity to define the industry standard for AI security at Cisco’s global enterprise scale.

As a Technical Lead, you will serve as a hands-on technical authority for AI Defense, owning the systems that detect, validate and stop threats to AI. You will drive hard design and implementation challenges, from low-latency LLM inference at scale to secure deployments in customer environments. Your work will set the engineering standards for the team and directly shape how Cisco secures AI for its customers.

  • Define and drive the architecture of scalable, high-performance platform services that protect AI applications and agents in real time.
  • Remain hands-on in...

Read the full posting on Cisco's site ↗

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