# Software Engineer - Data Infrastructure - Company: [Lumaai]() - Location: Redwood City, CA - Remote: Yes - Team: Research & AI - Employment type: Full Time - Salary: $170K – $360K - Posted: August 10, 2026 ## Job 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 ## Apply [Apply on Lumaai]() Canonical job page: