The weaponization of AI is driving a paradigm shift in the cyber security industry from proactive to preemptive security: clients must now invest more intelligence and effort in understanding their vulnerabilities before their adversaries do (Open AI). The only way to achieve this is to simulate future attack scenarios at scale, and to run them in high fidelity digital replicas of production environments (Gartner/Forrester). SimSpace serves as the AI Proving Grounds to generate hypersynthetic data which pressure tests controls, tools, teams, and agentic capabilities in full kill chain attacks hidden in realistic environmental traffic and patterns of life.

Founded in 2015 by experts from U.S. Cyber Command and MIT Lincoln Laboratory, the platform was initially conceived to assist in Offensive Cyber Operations (OCO), to quickly replicate target environments to conduct mission rehearsal of human operators and their tools to deny (disrupt, degrade, destroy) or deceive (manipulate or exfiltrate data) adversaries. The company has since expanded to serve over a dozen allied governments in OCO/DCO as well as critical infrastructure enterprises around the world. The company is actively investing in the Americas, Asia Pacific, Europe and the Middle East through direct sales and channel partners. SimSpace has launched the AI Proving Grounds Consortium, leading the revolution by creating an open platform for the InfoSec ecosystem to train, validate and operationalize their agentic capabilities before committing to production.

Why join SimSpace?

We are a team united by a shared purpose and four core values: Serve to Protect, Acquire Understanding, Teamwork without Borders, and Operate as Innovators. We value candid, constructive feedback and create opportunities for personal, professional, and financial growth. Our vision, “Defend the Free World,” drives our mission: “Defeat Any Adversary in Any Cyber Terrain at Machine Speed.”

How Do We Work?

We listen to customers and colleagues, challenge assumptions, and turn ideas into meaningful results. We expect everyone to embrace emerging technologies, simplify and automate work, and use AI to learn, solve problems, and help deliver quality with speed. We apply human judgment and take responsibility for outcomes. Whether remote or office-based, we collaborate across teams and time zones.

We invite you to apply today!

SimSpace is seeking a Staff Engineer to provide technical leadership for the Range Against the Machine team. RATM creates and maintains reusable virtual-machine templates and the standardized cyber ranges used across the SimSpace platform and by customers. The work spans range architecture, networking, operating systems, virtualization, cybersecurity, automation, and representative enterprise and industrial environments.

This is a hands-on Staff-level role. You will solve selected complex problems directly while increasing the team's ability to deliver independently through architecture, standards, automation, documentation, mentoring, and delegated technical ownership. Success means improving the system and the team's leverage—not becoming the permanent owner of every difficult problem.

What the Team Owns

Reusable range architectures, blueprints, configuration bundles, and approved custom range capabilities.

Virtual-machine images and their build, validation, versioning, patching, release, deprecation, and replacement lifecycle.

Ansible-based configuration automation and repeatable patterns for secure, supportable range construction.

Representative network, identity, infrastructure, application, and security environments that support defensive operations, offensive workflows, automated attacks, user emulation, tool integration, training, exercises, and approved customer use cases, including ICS/OT where required.

Quality, documentation, and supportability of team-owned repositories and artifacts, plus bounded integration solutions when range requirements expose platform gaps.

What You'll Do

Set technical direction for reusable cyber ranges and make explicit trade-offs among realism, security, reliability, scalability, usability, performance, maintainability, customer outcomes, and near-term delivery.