Software Engineer - Data Infrastructure

Luma
Redwood City
Workplace: HybridFull timeUSD 170,000 - 360,000 annuallyFunction: Software EngineeringSkills: ["Problem-solving","Collaboration","Execution","Fast-paced mindset","Monitoring and tuning"]

Build and scale the data infrastructure that powers multimodal AI research. You’ll design high-throughput data processing pipelines, batch jobs, and reliable data platforms, partnering with ML researchers and product teams to meet evolving needs. Work includes integrating and improving open-source tooling through monitoring, troubleshooting, and performance tuning, plus supporting adoption of new languages and frameworks for data infrastructure.

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FursaFursa
Luma
Luma
1 day ago

Software Engineer - Data Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and scale the data infrastructure that powers multimodal AI research. You’ll design high-throughput data processing pipelines, batch jobs, and reliable data platforms, partnering with ML researchers and product teams to meet evolving needs. Work includes integrating and improving open-source tooling through monitoring, troubleshooting, and performance tuning, plus supporting adoption of new languages and frameworks for data infrastructure.
Location: Redwood City
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and maintain scalable data infrastructure for high-throughput machine learning workflows.
  • •Develop and optimize large-scale data pipelines and batch processing jobs.
  • •Contribute to the architecture and implementation of reliable, high-performance data platforms.
  • •Integrate open-source tools and improve infrastructure through monitoring, troubleshooting, and performance tuning.
  • •Collaborate with ML researchers and product teams to define best practices and adapt to evolving data system needs.

Pay and Benefits

Salary: USD 170,000 - 360,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Proficiency in Python (or similar languages with willingness to learn Python) and experience with large-scale, high-throughput data infrastructure.
  • •Familiarity with distributed computing frameworks such as Ray, Spark, and Beam.
  • •Ability to design and optimize data pipelines for ML research and internal teams.
  • •Strong problem-solving skills and understanding of data engineering at scale.
  • •Experience sourcing, integrating, and optimizing data from diverse and large datasets.
Experience:AI/ML
Skills:Problem-solvingCollaborationExecutionFast-paced mindsetMonitoring and tuning
Tech Stack:PythonRaySparkBeam

Company Brief

Luma
Develops AI-powered tools for capturing, editing, and rendering high-quality 3D scenes from photos and videos, enabling creators to generate photorealistic 3D assets and spatial experiences.
Industry: AR/VR & Spatial Computing
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