Senior Data Engineer, Physical Intelligence jobs in United States
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Automated Tire, Inc. · 3 months ago

Senior Data Engineer, Physical Intelligence

Automated Tire, Inc. is a cutting-edge Series A company focused on revolutionizing the automotive robotics space. They are seeking a Senior Data Engineer to lead the development of data systems that power their robotics platform, computer vision pipelines, and product insights.

Industrial Automation

Responsibilities

Design, implement, and maintain end-to-end data pipelines that ingest data from robotic systems, sensors, cameras, APIs, and other sources into our data platform
Build and scale both batch and real-time streaming systems, ensuring reliability, fault tolerance, and high throughput
Develop and manage our data warehouse, and feature store, enabling downstream ML, analytics, and application use cases
Define and enforce data contracts, schema standards, validation rules, and lineage tracking to ensure data integrity and trust
Create transformation and modeling layers (e.g., using dbt, Spark, or equivalent) to deliver clean, well-structured data for engineers, analysts, and stakeholders
Collaborate closely with computer vision, robotics, and ML teams to build pipelines that support training, evaluation, and continuous learning
Instrument observability — build metrics, alerts, and dashboards on pipeline health, latency, data quality, and drift
Contribute to architecture and roadmap decisions around the evolution of ATI’s data systems and infrastructure

Qualification

Data pipeline developmentData warehouse managementMachine learning pipelinesReal-time streaming systemsData integrity standardsObservability instrumentationCollaboration with teams

Required

Design, implement, and maintain end-to-end data pipelines that ingest data from robotic systems, sensors, cameras, APIs, and other sources into our data platform
Build and scale both batch and real-time streaming systems, ensuring reliability, fault tolerance, and high throughput
Develop and manage our data warehouse, and feature store, enabling downstream ML, analytics, and application use cases
Define and enforce data contracts, schema standards, validation rules, and lineage tracking to ensure data integrity and trust
Create transformation and modeling layers (e.g., using dbt, Spark, or equivalent) to deliver clean, well-structured data for engineers, analysts, and stakeholders
Collaborate closely with computer vision, robotics, and ML teams to build pipelines that support training, evaluation, and continuous learning
Instrument observability — build metrics, alerts, and dashboards on pipeline health, latency, data quality, and drift
Contribute to architecture and roadmap decisions around the evolution of ATI's data systems and infrastructure

Company

Automated Tire, Inc.

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Automated Tire (ATI) is a trailblazing Series-A startup dedicated to transforming the tire-changing and wheel-balancing industry through innovative robotic technology.

Funding

Current Stage
Early Stage
Company data provided by crunchbase