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Crux AI

Compute-as-a-service platform for large AI workloads

Principal Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • At least 12 years of security engineering experience, with a deep focus on infrastructure, cloud, or platform security at scale.
  • Hands-on experience securing bare-metal and data-center infrastructure, including hardware root of trust, TPMs, secure and measured boot, BMC hardening, and out-of-band management networks.
  • A track record of designing multi-tenant isolation and identity and access architectures for a cloud or hyperscale platform, and shipping them to production.
  • Ability to write designs, code, and detection rules hands-on.
  • Fluency with AI agents, or commitment to becoming fluent quickly, and ability to embed them as first principles in work, prioritizing agentic workflows before adding headcount or process.

Responsibilities

  • Define the security architecture of record across hardware and firmware, bare-metal hosts, out-of-band management, cluster fabric, control plane, and customer access.
  • Build verifiable tenant isolation for dedicated and sovereign customers, including network segmentation, secure provisioning and tenant wipes, and attestation of workloads running on their capacity.
  • Secure the hardware supply chain and boot path with Google and suppliers, including secure and measured boot, BMC hardening, firmware integrity, and key management.
  • Design protections for customer model weights and data at rest, in transit, and in use, and design how access is controlled and audited.
  • Work with Data Center Engineering and Facility Operations to design physical security, access control, and network security together at every site.
  • Establish and automate threat modeling, security design review, detection, and incident response for the platform.
  • Translate customer and regulatory requirements, including FedRAMP, SOC 2, ISO 27001, and sovereign data residency, into concrete controls and supporting evidence.
  • Understand the platform architecture, Google partnership model, and initial customer commitments; publish a threat model and security architecture of record for the first build.
  • Serve as a required reviewer for design decisions that set the security posture of the first sites.
  • Deliver the first production TPU cluster with verified tenant isolation, secure boot, and access controls.
  • Establish security monitoring and incident response for the platform, with tested playbooks for key scenarios.
  • Build AI-enabled tools for threat detection, design review, or compliance evidence that the team uses regularly.
  • Pass initial customer and third-party security assessments without findings that block a deal.
  • Develop a verifiable isolation and attestation story that supports sovereign and regulated customer selection.
  • Set a multi-year security roadmap aligned with the CTPO, Google, and engineering leaders.

Desired Qualifications

  • Infrastructure security experience at a hyperscaler such as Google, AWS, Microsoft, or Meta, or at a neocloud such as CoreWeave, Nebius, Lambda, or Crusoe.
  • Experience with confidential computing, remote attestation, or securing AI accelerators and model weights.
  • Experience building controls for FedRAMP High, IL5, or sovereign cloud programs.
  • An active security clearance, or experience working with government and defense customers.
  • Patents, publications, or recognized work in hardware, firmware, or cloud security.

About the Company

Crux AI

Compute-as-a-service platform for large AI workloads

Crux AI offers compute-as-a-service for large-scale AI workloads by combining power, high-density data centers, networking, and accelerated computing into a single managed platform. It uses Google’s TPU hardware and software, with Crux AI acting as the single accountable partner from long-term capacity planning to production deployment. The company differentiates itself by delivering a reliability-engineered TPU-based infrastructure backed by Google and Blackstone, focused on end-to-end, turnkey management rather than generic cloud services. Its goal is to help customers scale demanding AI workloads with an enterprise-grade, dependable infrastructure and support.

Company size
1-10
Company stage
Debt Financing
Total funding
$22B
Headquarters
Palo Alto, CA
Founded
2026

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