# Software Engineer - Data Infrastructure at Luma AI

- Company: Luma AI
- Role group: Research & AI
- Location: Redwood City, CA
- Type: FullTime
- Remote: yes
- Posted: 2026-08-10
- Status: active
- Apply: https://jobs.ashbyhq.com/lumaai/d424c5fd-3135-460e-a50d-ed941f51e80b?ref=companies-hiring.click

## Description

About the Role

As a Data Infrastructure Engineer in Research at Luma, you will play a critical role in building and scaling the data infrastructure that supports our cutting-edge multimodal AI systems. Your work will focus on developing high-throughput, large-scale data processing pipelines tailored for machine learning research and internal ML platform needs. You will collaborate closely with ML researchers and product teams to create reliable, efficient, and easy-to-use data infrastructure that empowers innovation and accelerates development. This role requires a strong foundation in distributed systems and data engineering, with an emphasis on supporting complex machine learning workflows rather than traditional product data infrastructure.

 

Responsibilities

 - Build and maintain scalable data infrastructure for high-throughput machine learning workflows

 - Collaborate with ML researchers and product teams to ensure data systems meet evolving needs

 - 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 continuously improve data infrastructure through monitoring and tuning

 - Participate in cross-functional projects to improve data reliability, scalability, and operational excellence

 - Support the evaluation and adoption of new programming languages and frameworks relevant to data infrastructure

 - Engage in continuous improvement of data infrastructure through monitoring, troubleshooting, and performance tuning

 - Collaborate with research & engineering teams to help define and refine best practices for data infrastructure development

 

Qualifications

 - 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 (e.g., Ray, Spark, 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

 - Collaborative, product-focused mindset; comfortable in fast-paced environments

 - Experience sourcing, integrating, and optimizing data from diverse and large datasets

 - Comfortable working in a fast-paced, product-focused environment with a strong execution mindset

 - Open to candidates across seniority levels, from mid-level individual contributors to senior engineers and managers.

 

Nice to have

 - Prior experience working with complex data infrastructure or AI/ML platforms highly desirable

 - Experience with open source data infrastructure projects is a plus

 - Experience working in the robotics industry preferred
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