Staff GRC Engineer

🇺🇸 San Francisco, California
Posted 2 weeks ago
Expires May 29, 2026

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role

We’re seeking a Sr. GRC Engineer to design, build, and operate the automation and tooling that powers our Governance, Risk, and Compliance program. Reporting to the Head of GRC, this is an engineer-first role focused on replacing manual compliance workflows with scalable, code-driven systems.

You’ll build automation across evidence collection, control monitoring, and risk reporting; embedding compliance directly into engineering and infrastructure pipelines so it becomes continuous, not periodic. Deep regulatory expertise isn’t required, but you should understand how compliance requirements translate into automatable controls and repeatable workflows.

What You’ll Be Working On

- Designing and maintaining automation workflows that replace manual compliance processes (evidence collection,...

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