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Engineering Intern, Al Supportability

Illumio
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Our Team's Vision:

We are looking for a motivated and passionate intern to join the core team responsible for building the Virtual Enforcement Node (VEN) — the agent software powering Illumio Core and Illumio Edge. This team is expanding its focus to include AI supportability, ensuring our AI-driven security features are reliable, observable, and easy to troubleshoot at scale.

You’ll work alongside a small, high-functioning team that empowers engineers to innovate and take ownership. We value autonomy, curiosity, and a bias toward action.

 

What You'll Do:

Collaborate with engineers to improve the supportability of AI-powered features within the VEN

Build diagnostics, logging, and observability tools for AI components embedded in the agent

Contribute to the design and implementation of system services in C++ and GoLang that interact with AI models and inference pipelines

Help identify and resolve reliability issues in AI workflows running on customer workloads

Participate in design reviews and contribute to postmortem analyses for AI-related incidents

Learn from experienced engineers and have a direct impact on production systems

 

What You'll Bring:

Currently enrolled in a full-time Bachelor’s degree program in Computer Science, Software Engineering, or a related technical field, with an expected graduation date in Winter 2026 or Spring 2027

Experience with C++ and GoLang

Strong interest in Operating Systems, System Software Development, and AI/ML systems

Understanding of networking concepts and distributed systems

Bonus: Exposure to observability tools (e.g., Prometheus, OpenTelemetry) or AI frameworks (e.g., PyTorch, TensorFlow)

 

What You'll Gain:

Work on mission-critical software deployed globally

Contribute to the supportability of cutting-edge AI features in cybersecurity

Learn from a team that values mentorship, ownership, and technical excellence

Work with teams across engineering, product, and support to understand the full lifecycle of AI-powered features

Work on cutting-edge AI problems that actually ship to production

Build a strong foundation in systems engineering, observability, and AI infrastructure — skills highly valued in both startups and large tech companies