Role Overview
Figureai is hiring a mid-level Helix AI Engineer, Data Infrastructure. This is a full-time role in San Jose. Part of Figureai's Backend hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Backend roles is $138k-$174k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities
- Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
- Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
- Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
- Work together with AI researchers to support new kinds of data workflows
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Minimum of 4 years of professional, full-time experience building reliable backend systems
- Experience with Linux and command line tools
- Experience with Python
- Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).
Bonus Qualifications
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
- Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
- Experience building data annotation and dataset management tools.
The US base salary range for this full-time position is between $150,000 - $400,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
About Figureai
Figureai
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Frequently Asked Questions
How do I apply for the Helix AI Engineer, Data Infrastructure position at Figureai?
Use the Apply button above to submit your application directly to Figureai. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Helix AI Engineer, Data Infrastructure position at Figureai located?
This position is based in San Jose. Figureai has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Helix AI Engineer, Data Infrastructure at Figureai earn?
Figureai has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Helix AI Engineer, Data Infrastructure role at Figureai posted?
This role was posted on July 13, 2026 (9 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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