--- title: 'Infrastructure Security Engineer at Runway' canonical: 'https://feeny.ai/job/infrastructure-security-engineer-runway-remote-pe1756wq945t' type: 'job' last_seen: '2026-10-27' --- # Infrastructure Security Engineer at Runway - **Company:** Runway - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-27 - **Apply:** https://jobs.ashbyhq.com/runway-ml/0c750d2f-f894-4c8d-8b47-f03ddbb794a6 ## Job description We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ## About the role *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. ## What you'll do - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off ## What you'll need - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company Even better if you have - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway [Great things come from great teams.](https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway) We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - [Universal World Simulator](https://runwayml.com/world-simulator.html) - [GWM-1](https://runwayml.com/research/introducing-runway-gwm-1) - [Gen-4.5](https://runwayml.com/research/introducing-runway-gen-4.5) - [General World Models](https://runwayml.com/research/introducing-general-world-models) - [Robotics SDK](https://runwayml.com/research/introducing-runway-gwm-1#robotics-section) - [Conversational Real-time Agents](https://runwayml.com/research/introducing-runway-gwm-1#avatars-section) - [Runway Studios](https://runwayml.com/studios) We're excited to be recognized as a best place to work: [Crain's](https://www.crainsnewyork.com/awards/best-places-work-2023) | [InHerSight](https://www.inhersight.com/companies/best/city/new-york-city-ny) | [BuiltIn NYC](https://builtin.com/awards/new-york-city/2024/best-places-to-work) | [INC](https://www.inc.com/best-workplaces/2024) ## About Runway ## Company Overview - **One-liner**: Runway builds artificial intelligence to simulate the world, focusing on general world models for video generation, robotics, and interactive experiences. - **Entity Type**: Private (Corporate Minority funding stage; total raised $859.5M) - **Headquarters**: New York, New York, United States (79 Walker Street, Floor 5) - **Founded**: 2018 - **Founders**: Not publicly listed on provided sources (widely reported as Cristóbal Valenzuela, Anastasis Germanidis, and Alejandro Matamala) ## Core Business - **Primary industry/industries**: Artificial Intelligence, Video Generation, World Simulation, Robotics - **Target customers**: B2B – media & entertainment, film production, architecture, robotics research; also creative professionals and enterprises - **Mission or purpose statement**: "Building AI to simulate the world through merging art and science." – Runway believes world models are the path to general-purpose simulation, enabling progress in robotics, disease research, and scientific discovery. ## Products & Services - **[Gen-4.5](https://runwayml.com/)**: World's top-rated video generation model – cinematic, highly realistic outputs with precise creative control (SaaS / API). - **[GWM-1](https://runwayml.com/)**: State-of-the-art General World Model for real-time simulation. Three variants: - **GWM Worlds**: Interactive, explorable environments. - **GWM Avatars**: Real-time conversational video agents (API) – customizable appearance, voice, personality, knowledge, and actions. - **GWM Robotics**: Learned world models for robotic manipulation and physical interaction simulation. - **Runway Studios**: Production arm exploring AI integration in film (announced partnership with Lionsgate). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding raised – $859.5M (as of latest Corporate Minority round) - **Notable Investors/Partners**: NVIDIA (strategic partnership on Vera Rubin architecture), Lionsgate (film production partnership), General Atlantic, Felicis, Fidelity Investments, and 36+ others. - **Growth Signals**: - Partnership with NVIDIA to accelerate video and world models. - Partnership with Lionsgate to explore AI in film production. - Gen-4.5 recognized as top-rated video model. - Launch of GWM-1 (three variants) expanding into robotics and conversational AI. - Used by leading organizations across industries (e.g., architecture firm KPF). ## Competitive Advantages - **General World Models (GWM-1)**: Unlike pure language models, Runway builds models that understand, perceive, generate, and act in the world – a clear moat for simulation and robotics. - **Real-time interactivity**: GWM Worlds and Avatars enable real-time, controllable simulation and conversation, differentiating from static video generation. - **Full-stack AI platform**: From video generation (Gen-4.5) to world simulation (GWM-1) to production studios, Runway covers the entire creative-to-simulation pipeline. - **Strong research culture**: Long-term research effort to build AI systems that understand visual world dynamics. ## Strategic Focus - Continue advancing General World Models for universal simulation. - Expand partnerships in entertainment (Lionsgate), robotics (NVIDIA), and architecture (KPF). - Grow the platform’s adoption across industries requiring simulation, creative content, and autonomous agents. - Scale the team globally (offices in New York, San Francisco, Seattle, London, Tel Aviv, Tokyo) with remote flexibility. ## Why Work Here - **Culture**: "Creative, open minded, caring and ambitious people determined to change the world." Merges art and science – ideal for researchers, engineers, artists, and designers. - **Remote/Hybrid**: Global remote team; offices in 6 cities. Employees outside 10-mile commuting distance can expense co-working, internet, phone, and lunches (up to $250/month); within commuting distance get $50/month phone reimbursement. - **Benefits**: - 100% medical, dental, vision coverage for US employees and dependents (plus mental health and One Medical membership). - Unlimited PTO (recommended min 15 days) + paid sabbatical at 3, 5, and 7 years. - 16 weeks fully paid parental leave (all parents) with gradual return-to-work plan. - 3% 401k match (US employees). - $600 annual wellness stipend; $600 annual learning stipend; $500 tech setup stipend. - Annual travel budget for in-person collaboration, conferences, and company events. - Quarterly community donation program. - **Recognition**: Best Places to Work NYC (2022–2024), Inc. Best Workplaces (2023), Built In Inclusive Workplace (2022, 2023), Crain’s Best Companies Group. ## Sources 1. [runwayml.com](https://runwayml.com/) 2. [Runway Careers](https://runwayml.com/careers) 3. [Runway About](https://runwayml.com/about) 4. [CB Insights – Runway Profile](https://www.cbinsights.com/company/runwayml) 5. [Greenhouse Job Board](http://job-boards.greenhouse.io/runwayml) ## Other roles at Runway - [Campaign Creative, Product Marketing](https://feeny.ai/job/campaign-creative-product-marketing-runway-remote-9hs562tvb12m) - [Social Media Creative](https://feeny.ai/job/social-media-creative-runway-remote-n49m5awyg2m1) - [Sr/Staff Product Manager, Research Products](https://feeny.ai/job/sr-staff-product-manager-research-products-runway-remote-g55fbyww321k) - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-runway-remote-5n3p1f7wd93c) - [Member of Strategic Staff, Model Ecosystem](https://feeny.ai/job/member-of-strategic-staff-model-ecosystem-runway-remote-ay5r2pgrptrq) - [Strategic Finance](https://feeny.ai/job/strategic-finance-runway-san-francisco-20zz78w705s9) — San Francisco, CA - [Executive Assistant / Senior Executive Assistant to the Co-founder](https://feeny.ai/job/executive-assistant-senior-executive-assistant-to-the-co-founder-runway-new-york-myjrgheyymv0) — New York, NY - [Pricing Lead](https://feeny.ai/job/pricing-lead-runway-remote-fhhpwgh517xx) - [Prototype Researcher](https://feeny.ai/job/prototype-researcher-runway-remote-12t7kg8n85d8) - [Copywriter, Product Marketing](https://feeny.ai/job/copywriter-product-marketing-runway-remote-vs0q68tf0bf8)