1X Technologies AS
AI Research Engineer, Data Infrastructure
1X Technologies AS, Palo Alto, California, United States, 94306
AI Research Engineer, Data Infrastructure — Location: Palo Alto, CA (on-site)
We build humanoid robots that work alongside people to solve labor shortages and create abundance.
The Role As a Research Engineer in Infrastructure, you will design and implement a robust data engine to manage the data collected by our humanoid robot fleet. You’ll be responsible for making this data easily accessible for querying and training purposes. Your work will support high-quality data pipelines, enabling efficient model development, large-scale annotation, and integration across robotic, on‑premise, and cloud systems.
You Will
Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet‑wide data easily queryable and training‑ready
Collaborate with external dataset providers to prepare diverse multi‑modal pre‑training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization
Must Have
Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on‑robot components, on‑premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling
Benefits & Compensation
Salary Range: $180,000 – $250,000 + Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.
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The Role As a Research Engineer in Infrastructure, you will design and implement a robust data engine to manage the data collected by our humanoid robot fleet. You’ll be responsible for making this data easily accessible for querying and training purposes. Your work will support high-quality data pipelines, enabling efficient model development, large-scale annotation, and integration across robotic, on‑premise, and cloud systems.
You Will
Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet‑wide data easily queryable and training‑ready
Collaborate with external dataset providers to prepare diverse multi‑modal pre‑training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization
Must Have
Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on‑robot components, on‑premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling
Benefits & Compensation
Salary Range: $180,000 – $250,000 + Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.
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