Senior HPC engineer, Research infrastructure at Luma AI

Palo Alto, California, United States

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$180,000 – $220,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

LinuxPythonGPUNetworkingObservabilityTroubleshootingCloud OrchestrationDistributed Systems

Questions & Answers

Common questions about this position

What is the salary range for this Senior HPC Engineer position?

The salary range is $180,000 - $220,000 per year for the Bay Area, with base pay varying based on job-related knowledge, skills, candidate location, and experience. Additional compensation includes a sizable grant of Luma’s equity.

Is this role remote or hybrid, and where is it located?

This is a hybrid position located in the Bay Area.

What are the key skills required for this Senior HPC Engineer role?

Key requirements include 8+ years as an infrastructure engineer or DevOps in large distributed systems, deep networking knowledge (HPC networking a bonus), programming experience preferably in Python, GPU experience in large-scale clusters, strong observability and troubleshooting skills.

What is the company culture like at Luma AI?

Luma AI focuses on building the biggest and fastest AI supercomputing clusters, combining HPC traditions with modern cloud environments, and emphasizes self-driven engineers who own problems end-to-end while working closely with machine learning researchers.

What makes a strong candidate for this Senior HPC Engineer position?

Strong candidates have 8+ years in infrastructure or DevOps for complex distributed systems, deep networking and GPU cluster experience, programming skills in Python, tenacious troubleshooting, and the ability to independently own and solve problems from end-to-end.

Luma AI

Develops multimodal AI technologies for creativity

About Luma AI

Luma AI develops multimodal artificial intelligence technologies that enhance human creativity and capabilities. Their main product, the Dream Machine, allows users to interact with various types of data, enabling creative professionals, businesses, and developers to explore innovative applications of AI. Unlike many competitors, Luma AI focuses on integrating multiple modes of interaction, which broadens the possibilities for users. The company operates on a subscription model, providing access to its AI tools and services, and aims to lead the way in AI-driven creativity and productivity.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$84.9MTotal Funding

LATE_VCCompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Company Equity

Stock Options

Risks

Competition from Google's Veo 2 and OpenAI's Sora Turbo challenges Luma AI's market position.

AWS's cost-reducing features may make Luma AI's services less competitive.

AI-generated content controversies could harm Luma AI's reputation if outputs are misleading.

Differentiation

Luma AI transforms text into 3D models, enhancing user interaction with digital content.

The Dream Machine integrates multimodal AI, offering a unique creative platform for users.

Luma AI's Photon models provide high-quality, personalized image generation capabilities.

Upsides

Luma AI's $90 million funding boosts its capacity for innovation and market expansion.

Dream Machine 1.5's advanced text-to-video features attract creative professionals and businesses.

Expanding Dream Machine into a mobile app increases accessibility and user engagement.

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