Lead Data & AI 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!

Position Overview :

We are seeking a Lead Data & AI Engineer to spearhead the data, ML, and inference infrastructure for our next product line — “physical AI” systems combining robotics, vision, and intelligence at the edge. You’ll be a strategic technical leader and individual contributor, designing architectures, building core systems, and guiding a team that turns raw sensor and video data into robust, high-performance AI pipelines embedded in hardware.

Key Responsibilities :

• Define the architecture for the entire data and AI platform — from ingestion and transformation to training, inference, and continuous feedback loops — powering a new generation of physical AI products.
• Design and build full-stack data and ML pipelines : real-time and batch ingestion, feature engineering, model training and evaluation, inference services, and monitoring systems.
• Lead the development of scalable streaming and batch data systems optimized for robotic and embedded environments, ensuring high throughput, low latency, and fault tolerance.
• Establish strong data foundations — contracts, schema standards, validation, anomaly detection, lineage, and versioning — across all data sources (robotics, sensors, cameras, telemetry).
• Integrate tightly with robotics, perception, and control systems, enabling real-time feedback loops, edge intelligence, and sensor fusion.
• Implement robust observability : build dashboards, alerts, and metrics for pipeline performance, data drift, model health, and system reliability.
• Collaborate cross-functionally with product, hardware, and CV teams to align technical decisions with product goals and user impact.
• Hire, mentor, and grow a world-class team of data and ML engineers, set technical standards, and guide architectural decisions.
• Shape the strategic roadmap for how ATI leverages data and AI to unlock new capabilities in robotics and physical intelligence.
• 10+ years of experience across data infrastructure, ML systems, or AI engineering roles — with evidence of driving architecture and leading teams.
• Deep expertise in building end-to-end data & ML systems, from ingestion to production inference, particularly in real-time / streaming environments.
• Strong software engineering background (Python, Scala, Java, or similar) and experience with data processing frameworks (Spark, Flink, Beam, etc.).
• Experience in designing and building feature stores, model registries, or MLOps systems (e.g. MLflow, Feast, Tecton).
• Hands-on with orchestration and pipeline tooling (Airflow, Dagster, Prefect), and experience scaling complex workflows.
• Deep SQL & database skills, data modeling, schema design, partitioning, and query optimization.

Solid background in deploying and monitoring ML models — inference at scale, model drift, performance optimization.

Preferred Qualifications :

Why Join Us?

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