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!

Job Summary

You will lead TPA's evaluation and scoring work for AI Proving Grounds (AIPG). The team turns evaluation methods into software that helps customers see what an agent did, what evidence supports its assessment and how results compare.

TPA's software engineers and Data Scientists will report directly to you. As a hands-on player-coach, you will regularly implement and debug software, tests and automation while developing the team and owning delivery. The Staff Engineer leads design across features. Evaluation specialists review method validity; engineering makes the implementation reliable and keeps results traceable to evidence.

What will you be doing at SimSpace?

Hire, coach and develop software engineers and Data Scientists through clear expectations and regular feedback. Arrange scientific mentorship and method review with the appropriate specialists.

Define assessment questions, reference cases, evidence requirements and acceptance criteria with Product and evaluation specialists before expanding the work.

Lead delivery from execution coordination through evidence capture, scoring and usable results. Agree shared infrastructure, frontend work and operating support with the teams that provide them.

Review architecture and code with the Staff Engineer. Write focused changes, such as a test harness or integration fix, while helping engineers take ownership and keeping time for people leadership.

Build tests for missing evidence, incompatible versions, interrupted runs and misleading results. Use AI-assisted development with code review, tests and security checks.

Keep a ranked plan that accounts for support and maintenance. Raise changes in scope, dependencies or staffing early, and agree who will operate the capability before release.