Luma AI
Software Engineer - Data Infrastructure
Redwood City, CA
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About the role
- 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
- 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
- Support the evaluation and adoption of new programming languages and frameworks relevant to data infrastructure
- Collaborate with research & engineering teams to help define and refine best practices for data infrastructure development
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 (e.g., Ray, Spark, Beam)
- Experience sourcing, integrating, and optimizing data from diverse and large datasets
- 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
- 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
Benefits
- Build and maintain scalable data infrastructure for high-throughput machine learning workflows
This listing is sourced directly from Luma AI's careers page and normalized into a canonical job model.