Software Engineer - Data Infrastructure
Company websitelumalabs.ai (Luma, opens in new tab)
Base salary $170K to $360K
Employer-published annual base salary, USD. Advertised base range in Redwood City, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationRedwood City, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (23 min ago) · observed since
About this job
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
Source: Luma on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($170,000) is above 44% of the 4,198 Software Engineering roles in California listed on this site; 69 others list the same floor. Their median floor is $176,550; the middle half runs from $149,200 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSoftware Engineer - Data Infrastructure$170K to $360K
GTM Delivery Lead, North America$167K to $200K
Forward Deployed Creative [US]$145K to $205K
Software Engineer, Inference$195K to $345K
Research Scientist / Engineer – Reinforcement Learning Infrastructure$195K to $395K
Editor + Motion Graphics$126K to $147K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer - Data Infrastructure (this listing) | $170K - $360K |
| GTM Delivery Lead, North America | $167K - $200K |
| Forward Deployed Creative [US] | $145K - $205K |
| Software Engineer, Inference | $195K - $345K |
| Research Scientist / Engineer – Reinforcement Learning Infrastructure | $195K - $395K |
| Editor + Motion Graphics | $126K - $147K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-10
Where this pay comes from
Location as the employer wrote it: Redwood City, CA
USD 170,000 – 360,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.