Field AI
The Data Platform Engineer role involves designing and building scalable data architecture and pipelines to manage large-scale, multimodal robotics and ML datasets. This position focuses on creating systems for data ingestion, processing, validation, and versioning to support the full machine learning lifecycle for autonomous robotics. The engineer will collaborate with ML, robotics, and infrastructure teams to ensure reliable, high-quality data products for real-world deployments.
FieldAI is a Physical AI company building EDGE™, a general-purpose robot brain that delivers field-proven autonomy across robots, tasks, and environments. Powered by Field Foundation Models and a Belief World Model, EDGE™ enables reliable robot operation in unstructured real-world settings across industries including construction, urban operations, industrial & energy, federal, manufacturing, and mining. With deployments across three continents and partnerships with companies like Boston Dynamics and NVIDIA, FieldAI is pioneering general-purpose robot intelligence for the industries that build and power the world.
Nvidia, Bill Gates-backed robotics startup Field AI hits $2 billion valuation after recent raise
Aug 20, 2025
SiteCapture Launches SiteCaptureAI to Automate Field Service Operations
16 hours ago
CMU’s Robotics Innovation Center Secures FieldAI as Inaugural Corporate Tenant
2 weeks ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Field AI.
Field AI didn’t post a salary, so this is our estimate from similar listings.
FieldAI raises $405M to scale ‘physics first’ foundation models for robots
Aug 20, 2025
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