Senior Data Engineer, Physical Intelligence

About ATI:

We are a cutting-edge Series A company focused on revolutionizing the automotive robotics space. The team consists of experienced robotics, industrial automation, and automotive professionals with deep relationships and a distribution network across the U.S. We have strategic backing from long-term capital and the support to build something truly amazing. Come join our team and help us define the future of automotive robotics!

We are seeking a Senior Data Engineer to join our team and lead the development of the data systems that power our robotics platform, computer vision pipelines, and product insights. In this full-stack data role, you’ll design and build the end-to-end data infrastructure — from ingestion at the edge to analytics and machine learning pipelines in the cloud. You’ll work across the stack to turn raw sensor, vision, and operational data into high-quality, actionable intelligence that drives product decisions and enables next-generation automation.

• 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.

• 6+ years of experience as a data engineer, data infrastructure engineer, or similar role with a focus on end-to-end systems.
• Strong programming skills in Python, Scala, or Java and deep experience with modern data frameworks (e.g., Spark, Flink, Beam).
• Proven experience building streaming and batch pipelines using technologies like Kafka, Kinesis, or Pub/Sub.
• Expertise in SQL and relational database design, including complex queries, performance tuning, and schema optimization.
• Hands‑on experience with data modeling, partitioning, indexing, and OLAP/OLTP tradeoffs.
• Experience building and maintaining data lakes, warehouses, or feature stores for ML and analytics.
• Familiarity with orchestration and workflow tools (e.g., Airflow, Dagster, Prefect).
• Strong foundation in data validation, quality checks, schema evolution, and lineage tracking.
• Track record of building robust observability into data systems — metrics, logging, and alerting.
• Excellent communication and collaboration skills; comfortable partnering across engineering, product, and operations.

• Experience working with robotics, IoT, or computer vision data.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
• Experience integrating data pipelines into ML workflows (training, serving, retraining).
• Proven ability to set standards and build data engineering practices from the ground up in a fast‑paced startup.

• You will be data hire #1 and grow with the company.
• Build foundational data infrastructure that directly powers robotic automation, computer vision, and AI at scale.
• Play a high‑impact, cross‑functional role shaping how ATI uses data to deliver groundbreaking products.
• Competitive compensation, equity, and benefits, with the opportunity to grow as we scale.