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Figure

Helix AI Engineer, Data Infrastructure

San Jose, California, United States

Location
San Jose, California, United States
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Data & AI
Pay
$150K – $400K a year (read from the ad)
Posted
32 months ago

About the role

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

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 $150,000 to $400,000 per year.

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.

Source

Posted by Figure on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 05:39 UTC; the original is the reference.

View the original ad ↗

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