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

Requirements

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
Experience interacting with robotics, sensor, or computer vision data, and familiarity with edge / embedded constraints
Experience with cloud infrastructure (AWS, GCP, Azure) and modern data ecosystems (data lakes, containers, serverless)
Excellent communication and collaboration skills; ability to translate technical constraints into product impact

Preferred Qualifications:

Background in robotics, autonomous systems, SLAM, 3D perception, or sensor fusion
Experience deploying on embedded / constrained hardware (e.g., edge inference, GPU/TPU at the edge)
Familiarity with data lake frameworks (Delta Lake, Iceberg, Hudi)
Experience in closed-loop feedback systems, online learning, or real-time adaptation
Prior experience in startup environments, building from scratch, and owning cross-functional scope

Why Join Us?

Lead a mission-critical function at the intersection of AI, robotics, and vision — from day one
Shape the architecture and engineering culture for a new product line with long-term impact
Work with a world-class team where your technical leadership and decisions will have immediate effect
Attractive compensation, equity, and benefits; and opportunity for career growth as your team and product scale

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