Top Internships

Design, deploy, and operate multi-vendor, multi-region hybrid cloud data center networks. Drive automation-first deployments using IaC and scripting, improve deployment quality/velocity, integrate automation into capacity workflows, build visibility/tools, maintain production reliability, and participate in 24x7 on-call rotations.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

Design and implement core features for a lightweight macOS security sensor, collaborate cross-platform with teams, own feature lifecycle from design through delivery, debug low-level memory and performance issues, and mentor distributed engineers while aligning sensor architecture with broader Falcon Host strategy.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Develop full-stack tools and automation for deploying and managing cloud infrastructure. Responsibilities include designing software solutions, collaborating with business partners, developing architecture and automation strategies, reporting on projects, and providing technical leadership. The role requires React and Go development, API integration, CI/CD, automated testing, version control, security-focused coding, troubleshooting, documentation, and applying AI technologies to improve workflows and decision-making.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Design, implement, and operate discoverability and search features for the AISOAR marketplace. Lead end-to-end technical implementations, ensure high availability and security, troubleshoot platform issues, collaborate with customers and security partners, use observability tools, drive platform improvements, and participate in monthly on-call rotation.

Designs and maintains large-scale production infrastructure across Linux servers, virtual machines, hypervisors, and datacenters. Administers OpenStack and VMware environments, develops automation using Python, Go, and PowerShell, troubleshoots hardware and infrastructure issues, and participates in on-call incident response. The role also supports networking, configuration management, documentation, post-mortems, and AI-enabled workflow improvements.

Build and maintain full-stack internal applications using React, Next.js, and Go. Design AI agent workflows, autonomous systems, and LLM-integrated tooling to improve developer productivity. Develop REST and gRPC APIs, accessible user interfaces, and scalable services. Contribute to Kubernetes-based CI/CD, infrastructure automation, testing, code reviews, architecture discussions, and Agile ceremonies while collaborating with distributed global teams.

Build and improve the Enterprise AI operating model through AI-enabled processes, operational reporting, knowledge management, stakeholder forums, intake governance, and asset registry oversight. The role translates complex program information into executive narratives, coordinates decision-making, enables cross-functional alignment, and continuously improves planning, prioritization, governance, communication, and execution mechanisms.