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Software Engineer - Data Infrastructure

Luma AIRedwood City, CAResearch & AI
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Salary
$170K - $360K USD
Job type
Full-time
Work mode
Remote
Posted
10 Aug 2026
Status
Open · checked 7d ago

About this role

This Software Engineer - Data Infrastructure position at Luma AI in Redwood City, CA involves building and scaling data infrastructure to support multimodal AI systems. This full-time remote opportunity suits distributed systems and data engineering professionals eager to accelerate machine learning research.

Role Overview

As a Data Infrastructure Engineer within the research department, the professional takes charge of constructing scalable data architecture. The daily focus centers on developing high-throughput, large-scale data processing pipelines specifically tailored for machine learning research and internal platform requirements. Working alongside machine learning researchers and product teams, the individual establishes reliable and efficient data systems that speed up innovation. The position emphasizes supporting complex machine learning workflows over traditional product data infrastructure.

Key Responsibilities

Construct and maintain scalable data infrastructure designed for high-throughput machine learning workflows.
Partner with machine learning researchers and product teams to guarantee data systems satisfy changing demands.
Create and optimize large-scale data pipelines and batch processing jobs.
Help design and implement dependable, high-performance data platforms.
Incorporate open-source tools and enhance data infrastructure continuously through performance tuning and monitoring.
Take part in cross-functional initiatives aimed at boosting operational excellence, scalability, and data reliability.
Assist with evaluating and adopting new frameworks and programming languages related to data infrastructure.
Troubleshoot and monitor data infrastructure to drive ongoing improvements.
Work alongside engineering and research teams to shape best practices for data infrastructure development.

Requirements

Strong proficiency in Python or similar languages alongside a willingness to learn Python, paired with experience managing large-scale, high-throughput data infrastructure.
Familiarity utilizing distributed computing frameworks such as Ray, Spark, and Beam.
Capability to design and optimize data pipelines tailored for internal teams and machine learning research.
Solid problem-solving talents combined with a deep grasp of large-scale data engineering.
A collaborative and product-focused mindset suited for fast-paced corporate settings.
Experience in sourcing, integrating, and optimizing data derived from large and diverse datasets.
Comfort executing tasks rapidly within a fast-paced environment featuring a strong execution mindset.
Openness to a broad range of seniority levels, encompassing mid-level individual contributors, senior engineers, and managers.

Nice to Have

Background working directly with AI/ML platforms or complex data infrastructure.
Experience contributing to open-source data infrastructure projects.
Past professional exposure within the robotics industry.

Skills and Tools

Python
Spark
Ray
Beam
Distributed computing frameworks
Large-scale data pipelines and batch processing
Data infrastructure monitoring and performance tuning

Salary and Benefits

Annual compensation ranges from $170,000 to $360,000 in USD.

About the Company

Luma AI operates in the research and artificial intelligence space, focusing on advanced multimodal AI systems. The organization fosters a fast-paced, execution-driven environment where cross-functional teams collaborate closely to push the boundaries of machine learning technology.

How to Apply

Interested candidates should visit the official Luma AI careers page to submit an application for this role.

Skills and tech stack

Questions candidates ask

What is the salary range for the Software Engineer - Data Infrastructure role?

The annual salary ranges from $170,000 to $360,000 USD.

Where is this job located?

The position is based in Redwood City, California, and offers remote work flexibility.

What qualifications are required for this position?

Applicants need proficiency in Python or a similar language with a willingness to learn Python, experience with large-scale data infrastructure, familiarity with distributed computing frameworks like Ray, Spark, or Beam, and strong problem-solving skills in data engineering.

What experience levels are being considered?

Luma AI is open to candidates across various seniority levels, ranging from mid-level individual contributors to senior engineers and managers.

How can I apply for this job?

You can apply directly on the official Luma AI company careers page.

Ready to apply?

The application is on the official Luma AI careers page.

Apply on company site