[Hiring] Senior Security Engineer @Runware

Role Description

As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand to customers, and the control plane that ties it all together across the US and Europe. You will design the controls, build the first version with your own hands, and set the standard for how security is run across every pod.

This is a hands-on senior individual-contributor role. You will:

• Threat-model a new pod before it ships.
• Harden the image that every GPU node boots from.
• Prove to an enterprise customer's security team that their model weights never leave their tenant.
• Lead the response and fix the root cause when something goes wrong.
• Work directly with our CISO, inference engine, platform and hardware teams, and site teams deploying pods.

Success means:

• A customer workload on a shared pod is isolated as strongly as on a dedicated one.
• No human has a standing login to a production node.
• Every change to the fleet is reviewed, signed and auditable.
• An enterprise security review takes days instead of months.

Qualifications

• 8+ years in security or infrastructure engineering, with several of those securing production infrastructure at a company that runs its own hardware at scale.
• A track record of building security controls, not just auditing them.
• Deep, current, hands-on Linux security expertise.
• Strong Kubernetes security knowledge.
• Fluent in network security on real hardware.
• Experience with identity, secrets and PKI at scale.
• Fluent in Python or Go.
• Use AI to accelerate your own output every day.
• A clear communicator who can explain trade-offs to various stakeholders.
• Able to travel to sites in the US and Europe as needed.

Requirements

• Own the security architecture of the fleet.
• Secure multi-tenancy on shared infrastructure.
• Secure the managed Kubernetes offering.
• Build security visibility across the fleet.
• Lead security reviews and threat models for new pods, sites, servers and platform features.
• Run incident response for the infrastructure.
• Own vulnerability management for the fleet.
• Answer enterprise customers' security due diligence with engineering evidence.
• Design for sovereign and on-premise deployments.
• Use AI to accelerate the work.

Benefits

• A rare mandate: secure an AI supercomputer from the firmware up.
• Meaningful stock options.
• Remote-first collective with in-person meetings twice a year.
• Fast and intense release cycles followed by real downtime.
• Generous paid time off, including vacation, sick days and public holidays.
• Paid maternity, paternity and caregiver leave.
• Twice-yearly company retreats in inspiring locations.