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Helix AI Engineer (Data Infrastructure)

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Onsite

Helix AI Engineer (Data Infrastructure)

Figure

Helix AI Engineer (Data Infrastructure)

Skills

Google Cloud PlatformDeep LearningPythonPostgreSQLMySQLRedisAIAWSElasticsearchAnsibleLinuxKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $350,000 / year

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • 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
  • 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- The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system
  • Experience with Python
  • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related field
  • Experience with Linux and command line tools
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
  • Strong software engineering fundamentals
  • Minimum of 4 years of professional, full-time experience building reliable backend systems
  • Experience managing cloud infrastructure (AWS, Azure, GCP)
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
  • Experience building data annotation and dataset management tools

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