We're hiring an experienced and talented web UI engineer to join our small team building the Dream Machine web application. We're looking for someone with a history of shipping products, great software development fundamentals, and great taste in design.

Our team is focused on building the new primitives of AI-native product experiences. We work closely with our world-class design team to push the limits of web UI. It's a collaborative and fast-paced environment, where we bring ideas to life for our millions of customers. This role is for self-starters who take pride in their work.

This is an on-site role in Palo Alto, California. Given our very collaborative work style and the inventive nature of the products we are building, we're fortunate to have a product team working together in-person. We find our hybrid work schedule ideal in allowing for periods of collaboration and discussion as well as time for focused solo work during each week.

Roles & Responsibilities

Ship production code for all aspects of our complex web applications, from animated UI components, to API integrations, to bug fixes, and performance improvements.
Partner with our design, AI research, backend, and iOS teams to bring cohesive products from idea to reality.
Help create new processes for people and for code as our team grows.
Prototype new interface ideas together with our product designers.
Keep focused on raising our product's quality level.
Knows how to center a div.
Experience      A record of shipping products to customers.
Expert in JavaScript/TypeScript, CSS, and React.
Roughly 7+ years of experience working on front-end code and UI development.
Great sense of design, unhappy shipping anything that doesn't look and work great.
>   Compensation      The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

$200,000 - $250,000 a year

The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application is reviewed by real people.

The SRE role at Luma AI sits with the Infrastructure and Research teams and is responsible for our GPU clusters. Luma runs on '000s of H100 GPUs across multiple providers and clusters for Training, Data Processing, and Inference. We need a highly skilled SRE to ensure those clusters are healthy and to build the monitoring and management tools we need to make full use of them. Successful candidates will want to get extremely in the weeds solving performance and maintenance problems in our clusters.

Responsibilities Collaborate with researchers and engineers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of our GPU infrastructure.
Work with multiple GPU cloud providers to scale up, scale down, maintain and monitor our 000's GPUs in many clusters.
Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment.
Implement fault-tolerant and resilient design patterns to minimize service disruptions.
Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability alongside other infrastructure developers.
Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
Experience Proven work experience 10+ yrs as a reliability engineer, production engineer, infrastructure software engineer or a similar role in a fast-paced, rapidly scaling company.
Strong proficiency in GPU cloud infrastructure, including the underlying concepts of scheduling, scaling, cloud storage, networking, and security.
Proficiency in programming/scripting languages.
Experience with containerization technologies and container orchestration platforms like Kubernetes or equivalent.
Knowledge of IaC tools such as Terraform or CloudFormation or equivalent.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills.
Experience with observability tools; examples include DataDog, Prometheus, Grafana, Splunk, and ELK stack or similar.
Knowledge of security best practices in cloud environments.
Good to have experience as an SRE within the AI/ML space is strongly preferred.

$200,000 - $250,000 a year In addition to cash base pay, you'll also receive a sizable grant of Luma's equity. The pay range for this position is $200000-250000/yr for Bay Area. Base pay offered will vary depending on job-related knowledge, skills, candidate location, and experience.
Your application is reviewed by real people.

#J-18808-Ljbffr

The SRE role at Luma AI sits with the Infrastructure and Research teams and is responsible for our GPU clusters. Luma runs on '000s of H100 GPUs across multiple providers and clusters for Training, Data Processing and Inference. We need a highly skilled SRE to ensure those clusters are healthy and to build the monitoring and management tools we need to make full use of them. Successful candidates will want to get extremely in the weeds solving performance and maintenance problems in our clusters. Responsibilities <ul> <ul><li>Collaborate with researchers and engineers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of our GPU infrastructure. </li><li>Work with multiple GPU cloud providers to scale up, scale down, maintain and monitor our 000's GPUs in many clusters. </li><li>Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. </li><li>Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. </li><li>Implement fault-tolerant and resilient design patterns to minimize service disruptions. </li><li>Build and maintain automation tools to streamline repetitive tasks and improve system reliability. </li><li>Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability alongside other infrastructure developers. </li><li>Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. </li></ul> </ul>Experience <ul> <ul><li>Proven work experience 10+ yrs as an reliability engineer, production engineer, infrastructure software engineer or a similar role in a fast-paced, rapidly scaling company. </li><li>Strong proficiency in GPU cloud infrastructure, including the underlying concepts of scheduling, scaling, cloud storage, networking and security. </li><li>Proficiency in programming/scripting languages. </li><li>Experience with containerization technologies and container orchestration platforms like Kubernetes or equivalent. </li><li>Knowledge of IaC tools such as Terraform or CloudFormation or equivalent. </li><li>Excellent problem-solving and troubleshooting skills. </li><li>Strong communication and collaboration skills. </li><li>Experience with observability tools; examples include DataDog, Prometheus, Grafana, Splunk and ELK stack or similar. </li><li>Knowledge of security best practices in cloud environments. </li><li>Good to have experience as an SRE within the AI/ML space is strongly preferred. </li></ul> </ul>Compensation <ul> <ul><li>The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. </li> </ul></ul> $200,000 - $250,000 a year In addition to cash base pay, you'll also receive a sizable grant of Luma's equity. The pay range for this position is $200000- 250000/yr for Bay Area. Base pay offered will vary depending on job-related knowledge, skills, candidate location, and experience. Your application is reviewed by real people.

We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing. You'll be part of Luma's applied research team and work directly on mission critical work-streams utilizing thousands of GPUs. Responsibilities <ul> <ul><li>Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs. </li><li>Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training. </li><li>Work cross-functionally for diverse backend engineering needs. </li><li>Design & build performant infrastructure to manage and leverage large-scale datasets for our model training. </li></ul> </ul>Experience <ul> <ul><li>Requirement of 10+ years of engineering, including 2+ years of work experience in petabyte-level data processing. </li> <li>Very strong generalist python coding. </li><li>Experience engineering large-scale systems that process and serve petabytes of data. </li><li>Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems. </li><li>Experience working with visual data. </li><li>Experience working closely with ML is a strong plus . </li></ul>> </ul>Compensation <ul> <ul><li>The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. </li> </ul></ul> $250,000 - $300,000 a year The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. All your applications are reviewed by real people.

We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing. You'll be part of Luma's applied research team and work directly on mission critical work-streams utilizing thousands of GPUs. Responsibilities <ul> <ul><li>Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs. </li><li>Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training. </li><li>Work cross-functionally for diverse backend engineering needs. </li><li>Design & build performant infrastructure to manage and leverage large-scale datasets for our model training. </li></ul> </ul>Experience <ul> <ul><li>Very strong generalist python coding. </li><li>Requirement of 5+ years of engineering, including 2+ years of work experience in petabyte-level data processing. </li> <li>Experience engineering large-scale systems that process and serve petabytes of data. </li><li>Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems. </li><li>Experience working with visual data. </li><li>Experience working closely with ML is a strong plus . </li></ul>> </ul>Compensation <ul> <ul><li>The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. </li> </ul></ul> $225,000 - $280,000 a year The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. All your applications are reviewed by real people.

The SRE role at Luma AI sits with the Infrastructure and Research teams and is responsible for our GPU clusters. Luma runs on '000s of H100 GPUs across multiple providers and clusters for Training, Data Processing and Inference. We need a highly skilled SRE to ensure those clusters are healthy and to build the monitoring and management tools we need to make full use of them. Successful candidates will want to get extremely in the weeds solving performance and maintenance problems in our clusters. Responsibilities <ul> <ul><li>Collaborate with researchers and engineers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of our GPU infrastructure. </li><li>Work with multiple GPU cloud providers to scale up, scale down, maintain and monitor our 000's GPUs in many clusters. </li><li>Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. </li><li>Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. </li><li>Implement fault-tolerant and resilient design patterns to minimize service disruptions. </li><li>Build and maintain automation tools to streamline repetitive tasks and improve system reliability. </li><li>Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability alongside other infrastructure developers. </li><li>Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. </li></ul> </ul>Experience <ul> <ul><li>Proven work experience 5+ yrs as an reliability engineer, production engineer, infrastructure software engineer or a similar role in a fast-paced, rapidly scaling company. </li><li>Strong proficiency in GPU cloud infrastructure, including the underlying concepts of scheduling, scaling, cloud storage, networking and security. </li><li>Proficiency in programming/scripting languages. </li><li>Experience with containerization technologies and container orchestration platforms like Kubernetes or equivalent. </li><li>Knowledge of IaC tools such as Terraform or CloudFormation or equivalent. </li><li>Excellent problem-solving and troubleshooting skills. </li><li>Strong communication and collaboration skills. </li><li>Experience with observability tools; examples include DataDog, Prometheus, Grafana, Splunk and ELK stack or similar. </li><li>Knowledge of security best practices in cloud environments. </li><li>Good to have experience as an SRE within the AI/ML space is strongly preferred. </li></ul>> </ul> $180,000 - $250,000 a year In addition to cash base pay, you'll also receive a sizable grant of Luma's equity. The pay range for this position is $180000- 250000/yr for Bay Area. Base pay offered will vary depending on job-related knowledge, skills, candidate location, and experience. Your application is reviewed by real people.

We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing. You'll be part of Luma's applied research team and work directly on mission critical work-streams utilizing thousands of GPUs.

Responsibilities

Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs.
Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training.
Work cross-functionally for diverse backend engineering needs.
Design & build performant infrastructure to manage and leverage large-scale datasets for our model training.
Experience      Very strong generalist python coding.
Requirement of 5+ years of engineering, including 2+ years of work experience in petabyte-level data processing.
Experience engineering large-scale systems that process and serve petabytes of data.
Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems.
Experience working with visual data.
Experience working closely with ML is a strong plus .
>   Compensation      The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

$225,000 - $280,000 a year

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

All your applications are reviewed by real people.

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Software Engineer Luma Ai Jobs

Search for Job title, position, company and/or location…

Staff Software Engineer Frontend UiMarch 1, 2025

Staff Software Engineer ReliabilityFebruary 26, 2025

Staff Software Engineer ReliabilityFebruary 25, 2025

Staff Software Engineer Data InfrastructureFebruary 20, 2025

Senior Software Engineer Data InfrastructureFebruary 15, 2025

Senior Software Engineer ReliabilityFebruary 15, 2025

Senior Software Engineer Data InfrastructureFebruary 10, 2025