Field AI
As a Data Platform Engineer on the Data Pipelines team, you will design and build systems that reliably move telemetry and sensor data from Field AI's globally deployed robots to analytics and ML teams. You will develop ingestion SDKs, APIs, and integrations to handle intermittent connectivity and large payloads while ensuring data quality and pipeline scalability. This role is critical for creating the data backbone that drives autonomy improvements and engineering roadmaps.
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.
13% above the average for this role
FieldAI raises $405M to scale ‘physics first’ foundation models for robots
Aug 20, 2025