Staff Security Software Engineer

Luma AI

San Francisco (CA)

Sur place

USD 210 000 - 320 000

Plein temps

14 jours+
Générateur de candidature

Une candidature conçue pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

Luma AI seeks a senior, hands-on security leader to build the security foundations that support our next growth stage. You will design and ship platform security systems, identity, access control, secrets management, and encryption for a fast-moving AI company.

You will partner with infrastructure, research, and product teams to make secure patterns the default, implement RBAC/ABAC, and establish auditability and incident response while preserving development velocity.

Qualifications

  • Must have designed and operated security foundations in production environments.
  • Strong ability to write code, review infrastructure, and ship secure systems.
  • Experience with RBAC/ABAC, identity, and access management at scale.
  • Ability to model threats and define constrained, observable trust boundaries.

Responsabilités

  • Design and mature access grant and governance for production systems.
  • Implement scalable RBAC/ABAC across infrastructure and products.
  • Build robust secrets management and credential lifecycles.
  • Establish encryption and key management patterns.
  • Define authority scope, revocation, and auditability for agents and systems.
  • Create forensic visibility for user and system actions.
  • Lead threat modeling across infra, product, and research.
  • Partner with engineering to automate secure patterns.
  • Prepare readiness for enterprise security reviews.
  • Enhance incident detection and response while keeping velocity.

Connaissances

Security architecture
Production security
RBAC/ABAC design
Code proficiency
Threat modeling
Identity management
Collaboration
Security automation

Description du poste

About Luma

When there’s a new wave of technology, you want to be at the core—that’s where you have the most impact, work on the hardest problems, and grow the most.

You can’t find this at an AI startup building on someone else’s models—only at companies building the foundation models themselves.

The models are where the real innovation is happening. As they get more powerful, they're not just improving existing software—they're replacing it entirely. Foundation model companies are now building products deeply integrated with their models that fundamentally transform how work gets done.

Luma is exactly that:

  • A top-tier research team with one of the best video generation models on the market (Ray-3.14)
  • An enormous compute budget that only a few companies in the world can match ($900M Series C)
  • The only one at that level directly targeting the creative space
  • Building products that will completely change how creative work is done

And we’re still small enough that a single great hire can reshape the company.

Where You Come In

We are looking for a senior, hands‑on security leader to build the security foundations that will support Luma’s next stage of growth. Our models and products are becoming critical infrastructure for creative professionals and enterprises. As adoption scales, we are investing in modern, principled systems for identity, access control, secrets, encryption, and safe operation of autonomous AI.

This is a builder role. You will design and ship the platform security systems and operational tooling that allow us to move quickly while meeting the expectations of world‑class customers—things like auth and identity infrastructure, fine‑grained access scoping, break‑glass escalation systems, and agent permission frameworks. You will partner deeply with infrastructure, research, and product teams to make secure design the default, not something bolted on after the fact.

What You’ll Do
  • Design and mature how access to production systems is granted and governed
  • Implement scalable RBAC / ABAC approaches across infrastructure and products
  • Build robust secrets management and credential lifecycle practices
  • Establish strong encryption and key management patterns
  • Define how agents and automated systems receive authority, how it is scoped, and how it is revoked
  • Create auditability and forensic visibility for user and system actions
  • Lead threat modeling across infrastructure, product, and research domains
  • Collaborate with engineering teams to make secure patterns easy and automatic
  • Help drive readiness for enterprise security expectations and reviews
  • Strengthen incident detection and response capabilities
  • Raise the company’s security bar while preserving development velocity
Who You Are

Required:

  • You have built and operated security foundations in real production environments
  • You are excellent at writing code, reviewing infrastructure, and shipping systems
  • You recognize that in AI platforms, software systems can act with real authority
  • You’ve thought deeply about how services, automations, or models are scoped, constrained, and observed
  • You think in terms of systems and trust boundaries
  • You have high agency—you identify problems and drive them to resolution
  • You can balance pragmatism with long‑term rigor
  • Engineers trust you and enjoy partnering with you
What Sets You Apart
  • You’ve helped organizations evolve toward mature, scalable security architectures
  • You have experience implementing least‑privilege access and modern identity models
  • You’ve built durable approaches to secrets management and credential lifecycle
  • You understand the nuances of securing multi‑tenant AI platforms
  • You have strong opinions on how autonomous systems should be permissioned and governed
  • You know how to build detection and response capabilities in high‑growth environments
  • You can represent the company in detailed customer and partner security discussions
  • You build platforms and pave roads that engineers love to use
Why This Role Exists

AI systems are becoming actors. They retrieve data. They call tools. They take actions independently. Security is no longer just about who can log into a machine. It’s about defining how authority is granted, constrained, observed, and trusted across humans and intelligent systems.

We are building those foundations now. If you want to shape how security works at an AI‑native company operating at global scale, we should talk.

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