Luma AI

Maintain and scale GPU infrastructure clusters by developing monitoring, automation, and fault-tolerant systems to ensure high availability and performance. | Master's degree plus 2+ years experience with AWS, Kubernetes, CI/CD pipelines (GitLab, Jenkins), Terraform, Vault PKI, Python and shell scripting for automation. | Position: Staff Software Engineer - Reliability Job Description Luma AI runs on thousands of H100 GPUs across multiple providers and clusters for Training, Data Processing and Inference. Working with the Infrastructure and Research teams, the Staff Software Engineer – Reliability maintains the health of our GPU clusters, developing the monitoring and management tools necessary to maximize their performance. Specific Job Duties Include The Following • Collaborate with researchers and engineers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of our GPU infrastructure. (15%) • Work with multiple GPU cloud providers to scale up, scale down, maintain and monitor our GPUs in many clusters. (20%) • Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. (15%) • Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. (10%) • Implement fault-tolerant and resilient design patterns to minimize service disruptions. (10%) • Build and maintain automation tools to streamline repetitive tasks and improve system reliability. (15%) • Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability alongside other infrastructure developers. (5%) • Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. (10%) Job Requirements Requires a Master’s degree (or foreign equivalent) in Computer Science, Information Technology, Electronic Engineering, or related field of study, plus 2 years of experience in the job offered, Software Engineer, or a related occupation. Position requires at least 2 years of experience in the following skills: • CI/CD pipelines and automation using AWS and Kubernetes. • CI/CD using gitlab, docker, Kubernetes. • AWS infrastructure using Terraform, packer. • Certs LifeCycle Management using vault with PKI. • Python to automate every aspect of the pipeline. • Python and Shell Scripts for build automation. • Jenkins servers for continuous integration.

Lead product positioning, launch, and adoption by crafting messaging, running go-to-market campaigns, enabling sales, and translating customer insights into product strategy. | 5-8 years in product marketing or related roles ideally in B2B SaaS or AI tech, strong storytelling and analytical skills, experience with product launches, and ability to collaborate cross-functionally. | At Luma, we’re building multimodal AI to expand human imagination and capabilities. We believe the next leap in AI won’t come from language alone, but from models that can see, understand, create, and interact with the world visually. Dream Machine is just the beginning. We’re creating an intelligent creative partner that helps people express what’s in their mind’s eye without needing the perfect words. Think: generative AI that’s not just helpful, but beautifully intuitive and deeply visual. The Role We need our first Senior Product Marketing Manager (PMM) to lead how our product is positioned, launched, and adopted in the market. This role sits at the intersection of product, marketing, and sales — turning technical capabilities into clear, compelling value for customers and establishing the foundation of the PMM function at Luma. What a Typical Week Might Look Like: Message & Motivate: Craft narratives, value propositions, and messaging frameworks that resonate with creators, technical users, and executives. Launch & Learn: Own go-to-market strategy for new features and models, running campaigns and launches end-to-end in partnership with product and growth. Enable & Empower: Build sales tools, pitch decks, one-pagers, and case studies that help teams tell the Luma story with clarity and impact. Listen & Translate: Conduct customer interviews, competitive analysis, and market research, then funnel insights back to influence roadmap and positioning. Create & Educate: Write blogs, produce tutorials, and ship marketing content that simplifies complex AI into stories that inspire and inform. Measure & Iterate: Track launch and campaign performance, analyze adoption metrics, and optimize messaging and tactics based on data. Your Background Looks Something Like: The Essentials 5–8 years in product marketing, product management, or a related role, ideally in B2B SaaS or creative/AI tech Proven success leading end-to-end product launches and go-to-market campaigns Strong storytelling skills — able to turn complex technical details into customer-centric narratives Analytical and data-driven mindset, tying insights to strategy and measurable outcomes Skilled at cross-functional collaboration and influencing without authority Comfortable thriving in a fast-moving, creative, and high-ownership environment What Would Make You Exceptional: Experience in AI/ML or generative AI products Background in design-forward SaaS or creative tools High-growth or scale-up experience where you built frameworks while delivering results Technical literacy (machine learning concepts, data workflows) MBA or technical degree (e.g., Computer Science, Engineering) You Might Really Thrive Here If… Zero-to-one is your happy place; you love building functions and processes where none exist You geek out on AI and can translate complex concepts into stories that resonate with both engineers and execs Your idea of fun is turning raw product features into campaigns that make customers say “wow” “Iterate, ship, learn” feels more natural than “draft, revise, approve” You believe great storytelling can move markets, and you want a front-row seat in shaping a new category

Build and own secure, scalable backend enterprise systems including authentication, team management, billing, and analytics dashboards. | Senior or staff-level engineer with deep Python backend experience, security focus, containerization knowledge, and history of shipping enterprise-grade products. | About Luma AI Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. Where You Come In As Luma's generative AI is adopted by the world's leading creative companies, we are building a new, foundational team to create the secure, scalable, and reliable systems these partners require. This is a zero-to-one opportunity for a versatile and product-minded backend engineer to build our enterprise platform from the ground up. You will be a founding engineer on this new team, taking high-level requirements and turning them into robust, production-grade features. This is a high-agency role for an engineer who thrives on the challenge of serving sophisticated customers and has a proven history of shipping enterprise-grade systems in a fast-paced environment. What You'll Do Architect and Own Luma's core enterprise authentication layer, including features like SSO and role-based access control. Build and Launch backend systems for enterprise team management, including invites, shared credit pools, and billing integrations. Design and Ship high-traffic, secure APIs that power our enterprise offerings and partner integrations. Develop analytics dashboards and reporting features to provide enterprise customers with critical insights into their teams' usage and performance. Collaborate closely with our security, product, and design teams to harden our infrastructure and ensure our systems meet the highest standards for privacy and data protection. Who You Are You have experience as a Senior or Staff-level software engineer, with a proven record of shipping impactful, user-focused products at scale. You possess deep, hands-on proficiency in Python, as our entire backend stack is Python-based. You have experience designing, building, and maintaining scalable backend systems and high-traffic REST APIs. You have a "security mindset" and have experience working with security departments to build secure, enterprise-ready products. You have hands-on experience with containerization technologies like Docker and a medium-level understanding of Kubernetes. You thrive in fast-paced startup environments and have high agency, with a proven ability to operate effectively in the face of ambiguity. What Sets You Apart (Bonus Points) You have been an early or founding engineer at a startup focused on building backend systems for enterprise customers You have worked at a company with a strong API-first business model. Experience building enterprise applications or authentication systems from scratch.

Ship new model architectures by integrating them into the inference engine and empower the product team to create groundbreaking features through user-friendly APIs. Build sophisticated scheduling systems to optimally leverage GPU resources while maintaining CI/CD pipelines for model processing and internal tooling. | Strong generalist Python skills and extensive experience with Kubernetes and Docker are required. Experience with high performance large scale ML systems and multimedia processing is a plus. | Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. Role & Responsibilities Ship new model architectures by integrating them into our inference engine Empower our product team to create groundbreaking features by developing user-friendly APIs and interaction patterns Build sophisticated scheduling systems to optimally leverage our expensive GPU resources while meeting internal SLOs Build and maintain CI/CD pipelines for processing/optimizing model checkpoints, platform components, and SDKs for internal teams to integrate into our products/internal tooling. Background Strong generalist Python skills Experience with queues, scheduling, traffic-control, fleet management at scale. Extensive experience with Kubernetes and Docker. Bonus points if you have experience with high performance large scale ML systems (>100 GPUs) and/or Pytorch experience. Bonus points if you have experience with ffmpeg and multimedia processing. Tech stack Must have Python Kubernetes Redis S3-compatible Storage Nice to have Pytorch CUDA Ffmpeg