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Luma Jobs (NOW HIRING)

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 ...

Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian.

Where You Come In This is a rare and foundational opportunity to be an early Customer Success Manager at Luma. You will be a foundational member of our growing customer success function, directly ...

Dental Assistant

Birmingham, AL

$16.75 - $22/hr

Luma Dentistry Birmingham | Dental Assistant | Full Time Our team is growing, and we are looking to add a Full Time Dental Assistant to our long-standing team in Birmingham. Luma Dentistry has been ...

Firefighter Driver-Operator - OF&ES

Boise, ID · On-site

$18.78 - $23.71/hr

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: These positions are assigned to the ...

Dental Assistant

Birmingham, AL · On-site

$16.75 - $22/hr

Luma Dentistry Birmingham | Dental Assistant | Full Time Our team is growing, and we are looking to add a Full Time Dental Assistant to our long-standing team in Birmingham. Luma Dentistry has been ...

Develop and maintain a knowledge of Luma and its systems to be an internal resource for Luma-related inquiries; * Work with State Controller's Office, the Office of Information Technology Services ...

Treatment Coordinator

Gardendale, AL · On-site

$17.25 - $22.50/hr

Luma Dentistry Gardendale | Treatment Coordinator | Full Time Our team is growing, and we are looking to add a Full Time Treatment Coordinator to our long-standing team in Gardendale . Luma Dentistry ...

Financial Manager

Boise, ID · On-site

$39 - $41/hr

Maintain LUMA chart of accounts and general ledger structure. * Inventory oversight * Cultivate and maintain working relationships with the Division of Financial Management, the Legislative Services ...

Be Seen First

Overview Luma Financial Services is hiring 3 -4 experienced MCA closers to join our remote sales team. If you've closed deals in high-volume environments and want real leads, real funding power, and ...

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 most challenging problems, and grow the most. Not at a startup wrapping ...

FINANCIAL SPECIALIST, SR - DOPL

Boise, ID · On-site

$28.94 - $30.74/hr

Develop and review financial statements and payroll reports using the State's LUMA enterprise reporting system. * Incumbents use their professional background to assist in the development of budgets ...

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Luma information

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How much do luma jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for luma in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Luma job?

A Luma job typically refers to a position at Luma, a company that specializes in AI-driven customer support and automation. Employees in Luma roles often work in areas such as AI development, customer service, and technical support. Responsibilities may vary based on the specific role but generally involve improving AI interactions, managing customer inquiries, and optimizing support processes. If you're interested in a Luma job, check their careers page for open positions.

What are Luma?

Luma typically refers to a company or brand, most notably Luma AI, which specializes in artificial intelligence and 3D modeling technologies. Luma AI is known for developing tools that help users create realistic 3D content from simple images or videos, making 3D design more accessible for creators, developers, and businesses. Their technology is used in fields such as gaming, virtual reality, and e-commerce to bring products and environments to life. The term 'Luma' may also appear in other contexts, so it's important to clarify the specific industry or company when referring to 'Luma.'

What challenges might I face working as a Luma Support Specialist, and how can I prepare for them?

As a Luma Support Specialist, you may encounter challenges such as managing a high volume of user inquiries, troubleshooting complex technical issues, and adapting to frequent product updates. To prepare, it’s helpful to develop strong communication and problem-solving skills, stay current with Luma's product developments, and collaborate closely with engineering and product teams. Being proactive in seeking training and feedback can also help you navigate these challenges and provide excellent support to users.

What is the difference between Luma vs Visual Merchandiser?

AspectLumaVisual Merchandiser
Required CredentialsTypically no formal certification, but knowledge of retail and display design helpsOften requires a degree or certification in visual merchandising or design
Work EnvironmentRetail stores, showrooms, or online platformsRetail stores, trade shows, or client locations
Industry UsageUsed mainly in retail and e-commerce sectorsCommon in retail, fashion, and home decor industries

While Luma focuses on digital or online visual presentation tools, a Visual Merchandiser primarily works on physical product displays and store layouts. Both roles aim to enhance product appeal but differ in their mediums and specific skills required.

More about Luma jobs
What cities are hiring for Luma jobs? Cities with the most Luma job openings:
What are the most commonly searched types of Luma jobs? The most popular types of Luma jobs are:
What states have the most Luma jobs? States with the most job openings for Luma jobs include:
Infographic showing various Luma job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Software Engineer, Inference

Software Engineer, Inference

Luma AI

Redwood City, CA

$187K - $395K/yr

Other

Posted 20 days ago


Job description

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.
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. 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 affect change. We know we are not going to reach our goal with reliable & scalable infrastructure, which is going to become the differentiating factor between success and failure.
Role & Responsibilities
  • Ship new model architectures by integrating them into our inference engine
  • Collaborate closely across research, engineering and infrastructure to streamline and optimize model efficiency and deployments
  • Build internal tooling to measure, profile, and track the lifetime of inference jobs and workflows
  • Automate, test and maintain our inference services to ensure maximum uptime and reliability
  • Optimize deployment workflows to scale across thousands of machines
  • Manage and optimize our inference workloads across different clusters & hardware providers
  • 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 Python and system architecture skills
  • Experience with model deployment using PyTorch, Huggingface, vLLM, SGLang, tensorRT-LLM, or similar
  • Experience with queues, scheduling, traffic-control, fleet management at scale
  • Experience with Linux, Docker, and Kubernetes
  • Bonus points:
    • Experience with modern networking stacks, including RDMA (RoCE, Infiniband, NVLink)
    • Experience with high performance large scale ML systems (>100 GPUs)
    • Experience with FFmpeg and multimedia processing
Example Projects
  • Create a resilient artifact store that manages all checkpoints across multiple versions of multiple models
  • Enable hotswapping of models for our GPU workers based on live traffic patterns
  • Build a robust queueing system for our jobs that take into account cluster availability and user priority
  • Architect a e2e model serving deployment pipeline for a custom vendor
  • Integrate our inference stack into an online reinforcement learning pipeline
  • Regression & precision testing across different hardware platforms
  • Building a full tracing system to trace the end-to-end lifetime of any inference workload
Tech stack
Must have
  • Python
  • Redis
  • S3-compatible Storage
  • Model serving (one of: PyTorch, vLLM, SGLang, Huggingface)
  • Understanding of large-scale orchestration, deployment, scheduling (via Kubernetes or similar)
Nice to have
  • CUDA
  • FFmpeg

Compensation
The base pay range for this role is $187,500 - $395,000 per year.
About Luma
Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
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.