Automated Tire, Inc. · 3 months ago
Lead Data & AI Engineer, Physical Intelligence
Waltham, Massachusetts, United States
Full-time
Onsite
Lead/StaffAutomated Tire, Inc. is a cutting-edge Series A company focused on revolutionizing the automotive robotics space. They are seeking a Lead Data & AI Engineer to spearhead the data, ML, and inference infrastructure for their next product line, which combines robotics, vision, and intelligence at the edge. The successful candidate will design architectures, build core systems, and guide a team to develop high-performance AI pipelines embedded in hardware.
Industrial Automation
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
Qualification
Required
Experience in designing architectures for data and AI platforms
Proficiency in building full-stack data and ML pipelines
Experience with real-time and batch data ingestion
Knowledge of feature engineering, model training, and evaluation
Experience in developing inference services and monitoring systems
Ability to lead the development of scalable streaming and batch data systems
Experience in establishing data foundations including contracts, schema standards, validation, anomaly detection, lineage, and versioning
Experience integrating with robotics, perception, and control systems
Ability to implement observability for pipeline performance, data drift, model health, and system reliability
Experience collaborating cross-functionally with product, hardware, and CV teams
Experience in hiring, mentoring, and growing a team of data and ML engineers
Ability to shape strategic roadmaps for leveraging data and AI in robotics
Company
Automated Tire, Inc.
Automated Tire (ATI) is a trailblazing Series-A startup dedicated to transforming the tire-changing and wheel-balancing industry through innovative robotic technology.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase